Content

• How To
• Configuration
• Time Measurement
• Tasks
• Results

How To

1. Create github account (if not exists);
2. Make sure SSH clone & commit is working (Connecting to GitHub with SSH);
3. Fork this repo (just click Fork button on the top of the page, detailed instructions here)
4. Clone your forked repo into your local machine, use your user instead of username:

git clone git@github.com:username/gpu-2025.git
cd gpu-2025

5. Go to your group folder, e.g.:

cd 3822B1FI1

6. Go to needed task folder, e.g.:

cd 1_gelu_omp

7. Create new folder with your surname and name (make sure it's the same for all tasks), e.g.:

mkdir petrov_ivan

8. Copy your task source/header files (including main program) into this folder (use copy instead of cp on Windows), e.g.:

cd petrov_ivan
cp /home/usr/lab/*.cpp .
cp /home/usr/lab/*.h .

8. Push your sources to github repo, e.g.:

cd ..
git add .
git commit -m "1_gelu_omp task"
git push

9. Go to your repo in browser, click Contribute button on the top of page, then Open pull request. Provide meaningfull request title and description, then Create pull request (see details here).
10. Go to Pull Requests page in course repo, find your pull request and check if there are no any merge conflicts occur. If merge conflicts happen - resolve it following the instruction provided by github.

Time Measurement

The following scheme is used to measure task execution time:

int main() {
    // ...

    // Warming-up
    Task(input, size);

    // Performance Measuring
    std::vector<double> time_list;
    for (int i = 0; i < 4; ++i) {
        auto start = std::chrono::high_resolution_clock::now();
        Task(input, size);
        auto end = std::chrono::high_resolution_clock::now();
        std::chrono::duration<double> duration = end - start;
        time_list.push_back(duration.count());
    }
    double time = *std::min_element(time_list.begin(), time_list.end());

    // ...
}

Configuration

• CPU: Intel Core i5 12600K (4 cores, 4 threads)
• RAM: 16 GB
• GPU: NVIDIA RTX 4060 (8 GB)
• OS: Ubuntu 22.04.3 LTS
• Host Compiler: GCC 11.4.0 (C++17)
• CUDA: 12.9

Tasks

Task #1: OpenMP GELU Implementation

The Gaussian Error Linear Unit (GELU) is an activation function frequently used in Deep Neural Networks (DNNs) and can be thought of as a smoother ReLU.

To approximate GELU function, use the following formula:

GELU(x) = $0.5x(1 + tanh(\sqrt{2 / \pi}(x + 0.044715 * x^3)))$

Implement the function with the following interface in C++:

std::vector<float> GeluOMP(const std::vector<float>& input);

Size of result vector should be the same as for input. Use OpenMP technology to make your function parallel & fast.

Two files are expected to be uploaded:

• gelu_omp.h

#ifndef __GELU_OMP_H
#define __GELU_OMP_H

#include <vector>

std::vector<float> GeluOMP(const std::vector<float>& input);

#endif // __GELU_OMP_H

• gelu_omp.cpp

#include "gelu_omp.h"

std::vector<float> GeluOMP(const std::vector<float>& input) {
    // Place your implementation here
}

Performance Hints:

• better formula to compute GELU, e.g. replace tanh() with exp();
• loop unrolling;
• loop vectorization;
• vector allocation and computations in different threads (Windows only).

Task #2: CUDA GELU Implementation

Implement the function with the following interface in CUDA C++ using the formula described above:

std::vector<float> GeluCUDA(const std::vector<float>& input);

Size of result vector should be the same as for input. Use CUDA technology to make your function work on NVIDIA GPU. Try to make it fast.

Two files are expected to be uploaded:

• gelu_cuda.h

#ifndef __GELU_CUDA_H
#define __GELU_CUDA_H

#include <vector>

std::vector<float> GeluCUDA(const std::vector<float>& input);

#endif // __GELU_CUDA_H

• gelu_cuda.cu

#include "gelu_cuda.h"

std::vector<float> GeluCUDA(const std::vector<float>& input) {
    // Place your implementation here
}

Performance Hints:

• overlap host memory allocation and CUDA computations;
• allocate and free device memory once;
• use better formula to compute GELU, e.g. replace tanh() with exp().

Task #3: Naive Matrix Multiplication using OpenMP

General matrix multiplication (GEMM) is a very basic and broadly used linear algebra operation applied in high performance computing (HPC), statistics, deep learning and other domains. There are a lot of GEMM algorithms with different mathematical complexity form $O(n^3)$ for naive and block approaches to $O(n^{2.371552})$ for the method descibed by Williams et al. in 2024 [1]. But despite a variety of algorithms with low complexity, block matrix multiplication remains the most used implementation in practice since it fits to modern HW better.

To start learning matrix multiplication smoother, let us start with naive approach here. To compute matrix multiplication result C for matricies A and B, where C = A * B and the size for all matricies are $n*n$, one should use the following formula for each element of C (will consider only square matricies for simplicity):

$c_{ij}=\sum_{k=1}^na_{ik}b_{kj}$

To complete the task one should implement a function that multiplies two square matricies using OpenMP with the following interface:

std::vector<float> NaiveGemmOMP(const std::vector<float>& a,
                                const std::vector<float>& b,
                                int n);

Each matrix must be stored in a linear array by rows, so that a.size()==n*n. Function takes two matricies and their size as inputs, and returns result matrix also stored by rows.

For simplicity, let's consider matrix size is always power of 2.

Two files are expected to be uploaded:

• naive_gemm_omp.h:

#ifndef __NAIVE_GEMM_OMP_H
#define __NAIVE_GEMM_OMP_H

#include <vector>

std::vector<float> NaiveGemmOMP(const std::vector<float>& a,
                                const std::vector<float>& b,
                                int n);

#endif // __NAIVE_GEMM_OMP_H

• naive_gemm_omp.cpp:

#include "naive_gemm_omp.h"

std::vector<float> NaiveGemmOMP(const std::vector<float>& a,
                                const std::vector<float>& b,
                                int n) {
    // Place your implementation here
}

Performance Hints:

• cache-friendly memory accesses;
• loop unrolling;
• loop vectorization.

Task #4: Naive Matrix Multiplication using CUDA

In this task one should implement naive approach for matrix multiplication in CUDA trying to make it fast enough (pay attention to global memory accesses in your code).

Each matrix must be stored in a linear array by rows, so that a.size()==n*n. Function takes two matricies and their size as inputs, and returns result matrix also stored by rows.

For simplicity, let's consider matrix size is always power of 2.

Two files are expected to be uploaded:

• naive_gemm_cuda.h:

#ifndef __NAIVE_GEMM_CUDA_H
#define __NAIVE_GEMM_CUDA_H

#include <vector>

std::vector<float> NaiveGemmCUDA(const std::vector<float>& a,
                                 const std::vector<float>& b,
                                 int n);

#endif // __NAIVE_GEMM_CUDA_H

• naive_gemm_cuda.cu:

#include "naive_gemm_cuda.h"

std::vector<float> NaiveGemmCUDA(const std::vector<float>& a,
                                 const std::vector<float>& b,
                                 int n) {
    // Place your implementation here
}

Performance Hints:

• warp-friendly memory accesses;
• multiple elements per warp processing;
• loop unrolling and memory load vectorization;
• block size selection;
• overlap host memory allocation and CUDA computations.

Task #5: Block Matrix Multiplication using OpenMP

In real applications block-based approach for matrix multiplication can get multiple times faster execution comparing with naive version due to cache friendly approach. To prove this in practice, implement such a version in C++ using OpenMP.

In block version algorithm could be divided into three stages:

1. Split matricies into blocks (block size normally affects performance significantly so choose it consciously);
2. Multiply two blocks to get partial result;
3. Replay step 2 for all row/column blocks accumulating values into a single result block.

From math perspective, block matrix multiplication could be described by the following formula, where $C_{IJ}$, $A_{IK}$ and $B_{KJ}$ are sub-matricies with the size $block_size*block_size$:

$C_{IJ}=\sum_{k=1}^{block_count}A_{IK}B_{KJ}$

Each matrix must be stored in a linear array by rows, so that a.size()==n*n. Function takes two matricies and their size as inputs, and returns result matrix also stored by rows.

For simplicity, let's consider matrix size is always power of 2.

Two files are expected to be uploaded:

• block_gemm_omp.h:

#ifndef __BLOCK_GEMM_OMP_H
#define __BLOCK_GEMM_OMP_H

#include <vector>

std::vector<float> BlockGemmOMP(const std::vector<float>& a,
                                const std::vector<float>& b,
                                int n);

#endif // __BLOCK_GEMM_OMP_H

• block_gemm_omp.cpp:

#include "block_gemm_omp.h"

std::vector<float> BlockGemmOMP(const std::vector<float>& a,
                                const std::vector<float>& b,
                                int n) {
    // Place your implementation here
}

As in previous task, let us consider all matricies are square.

Performance Hints:

• cache-friendly memory accesses;
• loop unrolling;
• loop vectorization.

Task #6: Block Matrix Multiplication using CUDA

In CUDA C++ block-based approach looks similar. But to get better performance one should use CUDA shared memory to store each particular block while computations. With this consideration, algorithm will be the following:

1. A single CUDA block should compute a single block of result matrix C, a single CUDA thread - a single matrix C element;
2. For each A block in a row and B block in a column:
   1. Load A block into shared memory;
   2. Load B block into shared memory;
   3. Synchronize over all threads in block;
   4. Compute BlockA * BlockB and accumulate into C block in shared memory;
   5. Synchronize over all threads in block;
3. Dump block C from shared to global memory.

Each matrix must be stored in a linear array by rows, so that a.size()==n*n. Function takes two matricies and their size as inputs, and returns result matrix also stored by rows.

For simplicity, let's consider matrix size is always power of 2.

Two files are expected to be uploaded:

• block_gemm_cuda.h:

#ifndef __BLOCK_GEMM_CUDA_H
#define __BLOCK_GEMM_CUDA_H

#include <vector>

std::vector<float> BlockGemmCUDA(const std::vector<float>& a,
                                 const std::vector<float>& b,
                                 int n);

#endif // __BLOCK_GEMM_CUDA_H

• block_gemm_cuda.cu:

#include "block_gemm_cuda.h"

std::vector<float> BlockGemmCUDA(const std::vector<float>& a,
                                 const std::vector<float>& b,
                                 int n) {
    // Place your implementation here
}

Performance Hints:

• shared memory usage to store matrix block;
• warp-friendly memory accesses;
• multiple elements per warp processing;
• loop unrolling and memory load vectorization;
• block size selection;
• overlap host memory allocation and CUDA computations.

Task #7: Matrix Multiplication using cuBLAS

The most performant way to multiply two matrices on particular hardware is to use vendor-provided library for this purpose. In CUDA it's cuBLAS. Try to use cuBLAS API to implement general matrix multiplication in most performant way.

Each matrix must be stored in a linear array by rows, so that a.size()==n*n. Function takes two matricies and their size as inputs, and returns result matrix also stored by rows.

For simplicity, let's consider matrix size is always power of 2.

Note, that in cuBLAS API matrix is expected to be stored by columns, so additional transpose may be required.

Two files are expected to be uploaded:

• gemm_cublas.h:

#ifndef __GEMM_CUBLAS_H
#define __GEMM_CUBLAS_H

#include <vector>

std::vector<float> GemmCUBLAS(const std::vector<float>& a,
                              const std::vector<float>& b,
                              int n);

#endif // __GEMM_CUBLAS_H

• gemm_cublas.cu:

#include "gemm_cublas.h"

std::vector<float> GemmCUBLAS(const std::vector<float>& a,
                              const std::vector<float>& b,
                              int n) {
    // Place your implementation here
}

Performance Hints:

• overlap host memory allocation and CUDA computations;
• avoid redundant device memory allocation.

Task #8: FFT (Fast Fourier Transform) using cuFFT

Another widely used operation in HPC & signal processing is discrete Fourier Transform. Naive approach (by definition) has $O(n^2)$ complexity and is not used in practice due to its slowness. Better way is Fast Fourier Transform (FFT) algorithm with $O(n*log(n))$ complexity.

Due to its frequent use, FFT algorithm implementation is normally a part of vendor-optimized solutions for various hardware chips. For NVIDIA GPUs one should take cuFFT library.

To pass the task one should implement a funtion that takes $batch$ signals of $n$ complex elements, and performs complex-to-complex forward and than inverse Fourier transform for them. For better performance use cuFFT API.

Required function should have the following prototype:

std::vector<float> FffCUFFT(const std::vector<float>& input, int batch);

Here $batch$ is a number of independent signals, $input$ contains complex values in the format of $(real, imaginary)$ pairs of floats storing pair by pair. So $input$ array size must be equal to $2 * n * batch$.

The function should perform the following actions:

1. Compute forward Fourier transform for $input$;
2. Compute inverse Fourier transform for the result of step 1;
3. Normalize result of step 2 by $n$.

Returned array must store result of step 3 in the same format of $(real, imaginary)$ pairs as $input$ and have the same size.

Note, that due to Fourier Transform math properties, result array will have the same values as input one. This specificity could be used for self-checking.

Two files are expected to be uploaded:

• fft_cufft.h:

#ifndef __FFT_CUFFT_H
#define __FFT_CUFFT_H

#include <vector>

std::vector<float> FffCUFFT(const std::vector<float>& input, int batch);

#endif // __FFT_CUFFT_H

• fft_cufft.cu:

#include "fft_cufft.h"

std::vector<float> FffCUFFT(const std::vector<float>& input, int batch) {
    // Place your implementation here
}

Performance Hints:

• make normalization on device;
• do not allocate redundant device memory;
• overlap host memory allocation and CUDA computations.

Task #9: OpenCL GELU Implementation

Implement GELU function with the following interface in OpenCL using the formula described in task #1:

std::vector<float> GeluOCL(const std::vector<float>& input, int platform);

Size of result vector should be the same as for input. Use OpenCL technology to make your function work on NVIDIA GPU. Try to make it fast.

Use CL_DEVICE_GPU flag to choose GPU device. Use platform platform and 0 device. Store your OpenCL kernel in a string constant.

Two files are expected to be uploaded:

• gelu_ocl.h

#ifndef __GELU_OCL_H
#define __GELU_OCL_H

#include <vector>

std::vector<float> GeluOCL(const std::vector<float>& input, int platform);

#endif // __GELU_OCL_H

• gelu_ocl.cpp

#include "gelu_ocl.h"

std::vector<float> GeluOCL(const std::vector<float>& input, int platform) {
    // Place your implementation here
}

Performance Hints:

• perform OpenCL boilerplate code once;
• use better formula to compute GELU, e.g. replace tanh() with exp();
• overlap host memory allocation and GPU computations.

Results

1_gelu_omp (134217728 elements)

Group	Name	Result	Rank
FAST	FAST	0.1136	-
3822B1PE1	krylov_mikhail	0.1947	12
3822B1PE1	sorochkin_danila	0.2463	25
3822B1FI1	ionova_ekaterina	0.2465	6
3822B1FI1	Ionova_ekaterina	0.2479	4
3822B1PE3	oturin_alexander	0.2526	2
3822B1PE1	vasilev_sergey	0.2554	21
3822B1PE1	rams_sergei	0.2559	5
3822B1FI1	elvin_veliev	0.2598	3
3822B1FI1	somov_ivan	0.2612	7
3822B1FI1	shulpin_ilya	0.2636	2
3822B1FI3	kholin_kirill	0.2718	2
3822B1FI3	kirill_kholin	0.2733	4
3822B1FI2	mezhuev_maksim	0.2735	2
3822B1FI1	komshina_daria	0.2744	5
3822B1PE1	belov_artem	0.2745	20
3822B1PE2	kalinin_dmitry	0.2766	15
3822B1PE1	kapustin_ivan	0.2768	23
3822B1PE1	tyurin_mikhail	0.2772	8
3822B1PE2	zolotareva_arina	0.2777	11
3822B1PE4	ghanga_junior	0.2778	6
3822B1PE2	muradov_mike	0.2782	7
3822B1PE4	zinoviev_alexander	0.2783	4
3822B1PE2	kavtorev_dmitry	0.2784	14
3822B1PE2	ermolaev_vladislav	0.2792	3
3822B1PE2	filatieva_elizaveta	0.2795	8
3822B1FI3	kudryashova_irina	0.2810	1
3822B1PE1	kalyakina_anastasia	0.2811	15
3822B1PE3	sotskov_andrey	0.2822	1
3822B1PE2	varfolomeev_gregory	0.2849	13
3822B1PE2	mukhina_margarita	0.2859	5
3822B1FI2	sdobnov_vladimir	0.2870	4
3822B1PE2	korovin_nikita	0.2914	2
3822B1PE1	khasanyanov_kirill	0.2921	17
3822B1FI3	koshkin_nikita	0.2933	5
3822B1PE1	vershinina_alexandra	0.2956	16
3822B1PE4	podovinnikov_artyom	0.3142	3
3822B1FI2	markin_ivan	0.4058	5
3822B1PE2	filatiev_vladislav	0.4155	9
REF	REF	0.4736	-
3822B1PE2	gusev_nikita	0.6423	12
3822B1FI2	yasakova_tanya	0.6437	1
3822B1PE4	karaseva_ekaterina	0.6467	5
3822B1PE1	polikanov_vitaliy	0.6471	18
3822B1PE1	sidorina_polina	0.6509	19
3822B1FI3	lavrentyev_alexey	0.6559	6
3822B1PE1	korneeva_ekaterina	0.6560	24
3822B1FI2	shkurinskaya_elena	0.6565	3
3822B1PE3	kazunin_nikita	0.6626	4
3822B1PE2	titov_semyon	0.6721	1
3822B1PE1	konstantinov_ilya	0.6725	9
3822B1PE1	moiseev_artem	0.6731	3
3822B1PE4	shuravina_oksana	0.6742	2
3822B1PE1	korablev_vladlen	0.6773	1
3822B1PE4	kolokolova_darya	0.6778	1
3822B1PE1	morozov_egor	0.6782	4
3822B1FI1	solovev_alexey	0.6786	1
3822B1PE1	gnitienko_kirill	0.6802	10
3822B1PE1	milovankin_maxim	0.6830	11
3822B1PE2	sorokin_andrey	0.6830	6
3822B1PE1	shvedova_vitalina	0.6866	2
3822B1PE2	kondratev_yaroslav	0.6881	4
3822B1PE1	ermilova_darya	0.6957	14
3822B1PE1	nikolaev_roman	0.6993	13
3822B1PE2	vladimirova_julia	0.7179	10
3822B1FI3	solovyev_danila	0.7275	3
3822B1PE1	sadikov_ivan	0.7339	6
3822B1PE1	voroshilov_vitaliy	0.7367	26
3822B1PE3	sarafanov_maxim	0.7546	3
3822B1PE1	odintsov_misha	0.7605	7
3822B1PE1	vedernikova_kseniya	1.0534	22

2_gelu_cuda (134217728 elements)

Group	Name	Result	Rank
FAST	FAST	0.1205	-
3822B1PE1	kapustin_ivan	0.1834	23
3822B1PE4	shuravina_oksana	0.1840	1
3822B1FI2	shkurinskaya_elena	0.1842	2
3822B1PE2	kavtorev_dmitry	0.1849	14
3822B1FI2	sdobnov_vladimir	0.1867	3
3822B1FI2	mezhuev_maksim	0.1877	4
3822B1PE1	belov_artem	0.1913	20
3822B1PE2	kalinin_dmitry	0.1934	15
3822B1PE2	vladimirova_julia	0.2095	10
3822B1FI1	solovev_alexey	0.2105	1
3822B1PE1	polikanov_vitaliy	0.2118	18
3822B1PE2	zolotareva_arina	0.2140	11
3822B1FI2	yasakova_tanya	0.2151	1
3822B1FI3	lavrentyev_alexey	0.2153	4
3822B1PE1	shvedova_vitalina	0.2161	5
3822B1PE1	tyurin_mikhail	0.2190	8
3822B1FI1	ionova_ekaterina	0.2191	5
3822B1PE1	ermilova_darya	0.2195	13
3822B1PE2	varfolomeev_gregory	0.2197	13
3822B1PE1	khasanyanov_kirill	0.2199	17
3822B1PE2	ermolaev_vladislav	0.2200	1
3822B1PE3	kazunin_nikita	0.2204	3
3822B1PE2	filatieva_elizaveta	0.2206	8
3822B1PE3	sarafanov_maxim	0.2209	4
REF	REF	0.2209	-
3822B1PE1	sorochkin_danila	0.2214	25
3822B1PE1	milovankin_maxim	0.2217	10
3822B1FI1	elvin_veliev	0.2220	3
3822B1PE1	korneeva_ekaterina	0.2222	24
3822B1FI1	shulpin_ilya	0.2222	2
3822B1PE2	filatiev_vladislav	0.2224	9
3822B1PE4	podovinnikov_artyom	0.2227	3
3822B1PE1	gnitienko_kirill	0.2228	9
3822B1PE4	zinoviev_alexander	0.2233	4
3822B1PE2	kondratev_yaroslav	0.2234	4
3822B1PE2	titov_semyon	0.2237	2
3822B1PE3	oturin_alexander	0.2239	2
3822B1PE4	karaseva_ekaterina	0.2244	5
3822B1FI1	somov_ivan	0.2246	6
3822B1FI3	solovyev_danila	0.2248	3
3822B1PE2	mukhina_margarita	0.2250	5
3822B1PE1	sidorina_polina	0.2252	19
3822B1PE1	voroshilov_vitaliy	0.2257	26
3822B1FI3	koshkin_nikita	0.2257	5
3822B1PE1	rams_sergei	0.2259	3
3822B1PE2	korovin_nikita	0.2259	3
3822B1PE2	gusev_nikita	0.2259	12
3822B1PE1	sadikov_ivan	0.2262	6
3822B1PE3	sotskov_andrey	0.2269	1
3822B1PE1	vedernikova_kseniya	0.2270	22
3822B1FI3	kudryashova_irina	0.2274	1
3822B1PE4	kolokolova_darya	0.2279	2
3822B1PE4	ghanga_junior	0.2288	6
3822B1PE1	korablev_vladlen	0.2295	2
3822B1PE1	moiseev_artem	0.2298	1
3822B1FI2	markin_ivan	0.2301	5
3822B1PE2	muradov_mike	0.2306	7
3822B1PE2	sorokin_andrey	0.2306	6
3822B1PE1	konstantinov_ilya	0.2308	7
3822B1PE1	kalyakina_anastasia	0.2311	15
3822B1PE1	vasilev_sergey	0.2316	21
3822B1PE1	odintsov_misha	0.2321	14
3822B1FI3	kirill_kholin	0.2325	2
3822B1PE1	morozov_egor	0.2372	4
3822B1PE1	nikolaev_roman	0.2395	12
3822B1PE1	krylov_mikhail	0.2577	11
3822B1PE1	vershinina_alexandra	0.6209	16
3822B1FI1	komshina_daria	0.6698	4

3_naive_gemm_omp (1024 elements)

Group	Name	Result	Rank
3822B1PE4	zinoviev_alexander	0.0254	4
3822B1PE2	zolotareva_arina	0.0259	11
3822B1PE1	korablev_vladlen	0.0260	4
3822B1PE1	milovankin_maxim	0.0261	11
3822B1PE1	moiseev_artem	0.0261	3
FAST	FAST	0.0261	-
3822B1PE3	oturin_alexander	0.0264	2
3822B1PE2	muradov_mike	0.0265	7
3822B1PE1	vedernikova_kseniya	0.0265	22
3822B1FI3	kirill_kholin	0.0266	2
3822B1PE1	voroshilov_vitaliy	0.0271	26
3822B1PE1	tyurin_mikhail	0.0308	8
3822B1PE1	ermilova_darya	0.0312	14
3822B1PE1	konstantinov_ilya	0.0325	7
3822B1FI2	sdobnov_vladimir	0.0702	3
3822B1FI2	shkurinskaya_elena	0.0794	2
3822B1PE1	nikolaev_roman	0.0907	12
3822B1PE3	sotskov_andrey	0.0940	1
3822B1PE2	sorokin_andrey	0.1073	6
3822B1PE2	titov_semyon	0.1089	1
3822B1PE1	krylov_mikhail	0.1134	9
3822B1PE1	rams_sergei	0.1143	5
3822B1PE1	belov_artem	0.1227	19
3822B1PE1	kalyakina_anastasia	0.1230	16
3822B1PE2	gusev_nikita	0.1242	12
3822B1PE1	sadikov_ivan	0.1249	1
3822B1PE4	karaseva_ekaterina	0.1440	5
3822B1PE3	kazunin_nikita	0.1819	3
3822B1PE1	morozov_egor	0.1872	6
3822B1PE1	vershinina_alexandra	0.1913	17
3822B1PE3	sarafanov_maxim	0.2487	4
3822B1PE1	korneeva_ekaterina	0.2515	24
3822B1FI3	lavrentyev_alexey	0.2532	3
3822B1PE1	vasilev_sergey	0.2536	20
3822B1PE2	kalinin_dmitry	0.2540	14
3822B1FI1	komshina_daria	0.2545	4
3822B1PE2	mukhina_margarita	0.2602	4
3822B1FI2	markin_ivan	0.2821	5
3822B1PE2	korovin_nikita	0.3160	5
3822B1FI2	mezhuev_maksim	0.6826	4
3822B1FI3	kudryashova_irina	0.6950	1
3822B1FI1	ionova_ekaterina	0.7003	5
3822B1PE1	khasanyanov_kirill	0.7031	15
3822B1FI1	elvin_veliev	0.7035	3
3822B1FI3	solovyev_danila	0.7046	5
3822B1PE1	sorochkin_danila	0.7074	25
3822B1FI3	koshkin_nikita	0.7102	4
3822B1PE1	sidorina_polina	0.7136	18
3822B1PE4	podovinnikov_artyom	0.7137	1
3822B1PE1	kapustin_ivan	0.7137	23
3822B1PE2	filatiev_vladislav	0.7226	9
3822B1FI2	yasakova_tanya	0.7227	1
3822B1PE4	shuravina_oksana	0.7258	2
3822B1PE4	kolokolova_darya	0.7264	3
3822B1PE2	ermolaev_vladislav	0.7310	2
3822B1PE1	gnitienko_kirill	0.7319	10
3822B1PE2	kavtorev_dmitry	0.7320	13
3822B1PE2	filatieva_elizaveta	0.7385	8
3822B1PE1	polikanov_vitaliy	0.7478	21
3822B1FI1	solovev_alexey	0.7486	1
3822B1PE2	kondratev_yaroslav	0.7529	3
3822B1FI1	somov_ivan	0.7620	6
REF	REF	0.7773	-
3822B1PE1	shvedova_vitalina	0.7832	2
3822B1PE2	vladimirova_julia	0.7843	10
3822B1FI1	shulpin_ilya	0.7960	2
3822B1PE1	odintsov_misha	0.8459	13
3822B1PE4	ghanga_junior	BUILD FAILED	-
3822B1PE2	varfolomeev_gregory	BUILD FAILED	-

4_naive_gemm_cuda (4096 elements)

Group	Name	Result	Rank
3822B1PE1	nikolaev_roman	0.0626	10
3822B1PE3	oturin_alexander	0.0638	3
FAST	FAST	0.0776	-
3822B1PE2	zolotareva_arina	0.1368	11
3822B1PE1	krylov_mikhail	0.1392	7
3822B1FI2	yasakova_tanya	0.1406	1
3822B1FI1	shulpin_ilya	0.1419	2
3822B1FI1	somov_ivan	0.1439	6
3822B1PE2	filatiev_vladislav	0.1506	9
3822B1PE2	korovin_nikita	0.1543	5
3822B1FI3	koshkin_nikita	0.1565	3
3822B1PE3	sotskov_andrey	0.1604	1
3822B1PE1	konstantinov_ilya	0.1638	6
3822B1FI2	sdobnov_vladimir	0.1672	3
3822B1FI2	shkurinskaya_elena	0.1678	2
3822B1PE4	podovinnikov_artyom	0.1717	1
3822B1PE1	ermilova_darya	0.1723	15
3822B1PE1	shvedova_vitalina	0.1729	4
3822B1PE2	mukhina_margarita	0.1731	4
3822B1PE1	sidorina_polina	0.1733	18
3822B1PE1	sorochkin_danila	0.1740	25
3822B1PE4	kolokolova_darya	0.1755	4
3822B1PE1	sadikov_ivan	0.1762	5
3822B1PE2	kondratev_yaroslav	0.1763	3
3822B1FI3	kirill_kholin	0.1816	1
3822B1FI3	kudryashova_irina	0.1833	2
3822B1PE2	muradov_mike	0.1834	7
3822B1PE1	tyurin_mikhail	0.1837	11
3822B1PE2	ermolaev_vladislav	0.1841	2
3822B1PE1	kalyakina_anastasia	0.1853	14
3822B1PE1	vershinina_alexandra	0.1856	16
3822B1FI2	mezhuev_maksim	0.1876	4
3822B1PE2	kalinin_dmitry	0.1910	15
3822B1PE1	polikanov_vitaliy	0.1930	20
3822B1PE1	belov_artem	0.1934	19
3822B1PE1	kapustin_ivan	0.1955	22
3822B1PE4	shuravina_oksana	0.1955	2
3822B1PE1	vedernikova_kseniya	0.1990	24
3822B1FI2	markin_ivan	0.2004	5
3822B1FI1	komshina_daria	0.2030	4
3822B1PE3	kazunin_nikita	0.2165	2
3822B1FI3	solovyev_danila	0.2174	5
3822B1PE1	milovankin_maxim	0.2353	8
3822B1PE4	ghanga_junior	0.2407	6
3822B1PE4	karaseva_ekaterina	0.2430	5
3822B1FI3	lavrentyev_alexey	0.2466	4
3822B1FI1	elvin_veliev	0.2481	3
3822B1PE2	filatieva_elizaveta	0.2492	8
3822B1PE1	vasilev_sergey	0.2538	21
3822B1PE1	moiseev_artem	0.2539	2
3822B1PE4	zinoviev_alexander	0.2612	3
3822B1FI1	solovev_alexey	0.2613	1
3822B1PE1	korneeva_ekaterina	0.2698	23
3822B1PE1	korablev_vladlen	0.2780	3
3822B1PE1	rams_sergei	0.3064	1
3822B1PE1	gnitienko_kirill	0.3485	9
3822B1FI1	ionova_ekaterina	0.4071	5
3822B1PE1	khasanyanov_kirill	0.4413	13
3822B1PE1	voroshilov_vitaliy	0.4488	26
3822B1PE2	vladimirova_julia	0.4506	10
3822B1PE1	odintsov_misha	0.4525	12
3822B1PE2	kavtorev_dmitry	0.4578	14
3822B1PE2	gusev_nikita	0.5191	12
3822B1PE1	morozov_egor	0.5286	17
REF	REF	0.5798	-
3822B1PE2	titov_semyon	0.6015	1
3822B1PE2	varfolomeev_gregory	0.6313	13
3822B1PE3	sarafanov_maxim	1.0130	4
3822B1PE2	sorokin_andrey	1.0225	6

5_block_gemm_omp (1024 elements)

Group	Name	Result	Rank
3822B1PE2	mukhina_margarita	0.0221	3
FAST	FAST	0.0231	-
3822B1PE2	muradov_mike	0.0265	7
3822B1FI3	kirill_kholin	0.0292	3
3822B1FI3	kholin_kirill	0.0294	1
3822B1PE4	ghanga_junior	0.0295	6
3822B1PE1	ermilova_darya	0.0297	15
3822B1PE1	belov_artem	0.0299	19
3822B1PE2	kondratev_yaroslav	0.0302	5
3822B1PE1	korneeva_ekaterina	0.0303	23
3822B1PE2	zolotareva_arina	0.0360	11
3822B1PE4	shuravina_oksana	0.0374	2
3822B1PE1	milovankin_maxim	0.0404	8
3822B1PE4	zinoviev_alexander	0.0411	3
3822B1FI2	yasakova_tanya	0.0424	1
3822B1PE1	gnitienko_kirill	0.0464	9
3822B1PE2	gusev_nikita	0.0522	12
3822B1FI2	sdobnov_vladimir	0.0769	4
3822B1FI1	komshina_daria	0.0918	4
3822B1FI2	shkurinskaya_elena	0.0919	2
3822B1PE1	vasilev_sergey	0.0926	21
3822B1PE3	oturin_alexander	0.0943	1
3822B1PE2	sorokin_andrey	0.0950	6
3822B1PE3	kazunin_nikita	0.0958	3
3822B1PE2	korovin_nikita	0.0959	4
3822B1PE2	titov_semyon	0.0988	1
3822B1PE1	vedernikova_kseniya	0.1005	24
3822B1PE1	khasanyanov_kirill	0.1015	14
3822B1FI1	somov_ivan	0.1147	6
3822B1PE1	sadikov_ivan	0.1235	5
3822B1PE2	vladimirova_julia	0.1310	10
3822B1FI2	mezhuev_maksim	0.1324	3
3822B1PE1	krylov_mikhail	0.1379	7
3822B1PE1	rams_sergei	0.1406	3
3822B1PE4	kolokolova_darya	0.1430	4
3822B1PE1	nikolaev_roman	0.1434	11
3822B1PE1	konstantinov_ilya	0.1458	6
3822B1PE4	karaseva_ekaterina	0.1459	5
3822B1PE1	tyurin_mikhail	0.1463	10
3822B1PE2	filatieva_elizaveta	0.1464	8
3822B1PE2	filatiev_vladislav	0.1557	9
3822B1FI3	solovyev_danila	0.1575	6
3822B1FI2	markin_ivan	0.1613	5
3822B1PE1	vershinina_alexandra	0.1618	13
REF	REF	0.1670	-
3822B1PE3	sarafanov_maxim	0.1730	4
3822B1FI3	lavrentyev_alexey	0.1733	4
3822B1FI1	shulpin_ilya	0.1761	2
3822B1PE1	moiseev_artem	0.1767	2
3822B1FI1	ionova_ekaterina	0.1794	5
3822B1PE1	shvedova_vitalina	0.1814	4
3822B1PE1	kalyakina_anastasia	0.1833	16
3822B1PE2	kalinin_dmitry	0.1840	14
3822B1FI3	koshkin_nikita	0.1906	5
3822B1PE1	voroshilov_vitaliy	0.1918	26
3822B1PE1	korablev_vladlen	0.1959	1
3822B1FI3	kudryashova_irina	0.2012	2
3822B1PE1	polikanov_vitaliy	0.2090	20
3822B1PE1	kapustin_ivan	0.2126	22
3822B1PE1	morozov_egor	0.2128	18
3822B1PE2	kavtorev_dmitry	0.2424	13
3822B1PE2	ermolaev_vladislav	0.2532	2
3822B1PE4	podovinnikov_artyom	0.2540	1
3822B1PE1	sorochkin_danila	0.2766	25
3822B1PE3	sotskov_andrey	0.2963	2
3822B1FI1	solovev_alexey	0.3512	1
3822B1FI1	elvin_veliev	0.3520	3
3822B1PE1	sidorina_polina	0.6883	17
3822B1PE1	odintsov_misha	0.7827	12
3822B1PE2	varfolomeev_gregory	BUILD FAILED	-

6_block_gemm_cuda (4096 elements)

Group	Name	Result	Rank
3822B1PE1	gnitienko_kirill	0.0377	7
FAST	FAST	0.0776	-
3822B1PE3	oturin_alexander	0.1036	3
3822B1PE1	krylov_mikhail	0.1113	3
3822B1PE3	sarafanov_maxim	0.1286	4
3822B1PE1	polikanov_vitaliy	0.1304	20
3822B1PE1	morozov_egor	0.1306	17
3822B1PE1	nikolaev_roman	0.1318	6
3822B1FI2	shkurinskaya_elena	0.1343	2
3822B1PE1	shvedova_vitalina	0.1390	10
3822B1FI2	yasakova_tanya	0.1396	1
3822B1PE2	kavtorev_dmitry	0.1397	14
3822B1FI3	kholin_kirill	0.1397	1
3822B1PE2	zolotareva_arina	0.1398	11
3822B1PE1	odintsov_misha	0.1404	11
3822B1PE4	zinoviev_alexander	0.1404	3
3822B1PE4	kolokolova_darya	0.1412	4
3822B1PE2	titov_semyon	0.1417	1
3822B1FI1	solovev_alexey	0.1424	1
3822B1FI3	kirill_kholin	0.1428	3
3822B1PE2	sorokin_andrey	0.1449	6
3822B1PE2	vladimirova_julia	0.1470	10
3822B1FI3	lavrentyev_alexey	0.1473	4
3822B1PE4	karaseva_ekaterina	0.1478	5
3822B1PE4	podovinnikov_artyom	0.1486	1
3822B1FI1	elvin_veliev	0.1489	3
3822B1PE2	kondratev_yaroslav	0.1504	5
3822B1PE2	filatiev_vladislav	0.1505	9
3822B1FI1	somov_ivan	0.1518	6
3822B1PE1	kalyakina_anastasia	0.1522	15
3822B1PE1	belov_artem	0.1529	19
3822B1PE1	konstantinov_ilya	0.1544	4
3822B1PE4	ghanga_junior	0.1563	6
3822B1PE2	gusev_nikita	0.1593	12
3822B1PE1	khasanyanov_kirill	0.1601	12
3822B1PE1	vedernikova_kseniya	0.1678	24
3822B1PE2	filatieva_elizaveta	0.1776	8
3822B1PE2	mukhina_margarita	0.1836	3
3822B1FI1	shulpin_ilya	0.1843	2
3822B1FI1	komshina_daria	0.1861	4
3822B1FI3	kudryashova_irina	0.1866	2
3822B1PE1	milovankin_maxim	0.1871	5
3822B1PE1	rams_sergei	0.1877	1
3822B1PE1	sidorina_polina	0.1881	18
3822B1PE1	moiseev_artem	0.1888	2
3822B1FI1	ionova_ekaterina	0.1912	5
3822B1PE1	korablev_vladlen	0.1917	9
3822B1PE1	sadikov_ivan	0.1932	8
3822B1FI2	mezhuev_maksim	0.1991	3
3822B1PE3	sotskov_andrey	0.1993	1
3822B1PE2	ermolaev_vladislav	0.2001	2
3822B1PE2	kalinin_dmitry	0.2008	15
3822B1FI3	solovyev_danila	0.2033	6
3822B1PE1	tyurin_mikhail	0.2108	16
3822B1FI2	markin_ivan	0.2121	4
3822B1PE3	kazunin_nikita	0.2142	2
3822B1PE1	vershinina_alexandra	0.2497	14
3822B1PE2	muradov_mike	0.2517	7
REF	REF	0.3026	-
3822B1PE1	korneeva_ekaterina	0.3232	23
3822B1PE1	ermilova_darya	0.3264	13
3822B1PE1	kapustin_ivan	0.3287	22
3822B1PE1	sorochkin_danila	0.3367	25
3822B1PE1	vasilev_sergey	0.3372	21
3822B1FI3	koshkin_nikita	0.3405	5
3822B1PE2	korovin_nikita	0.3646	4
3822B1PE4	shuravina_oksana	0.4180	2
3822B1PE1	voroshilov_vitaliy	0.4237	26
3822B1PE2	varfolomeev_gregory	0.4286	13

7_gemm_cublas (4096 elements)

Group	Name	Result	Rank
3822B1PE1	polikanov_vitaliy	0.0425	21
3822B1FI1	somov_ivan	0.0425	6
3822B1PE1	sorochkin_danila	0.0428	25
3822B1PE1	tyurin_mikhail	0.0431	15
3822B1PE1	rams_sergei	0.0432	6
3822B1PE3	sarafanov_maxim	0.0432	4
3822B1PE1	voroshilov_vitaliy	0.0437	26
3822B1PE1	milovankin_maxim	0.0438	4
3822B1PE2	korovin_nikita	0.0445	5
3822B1PE1	moiseev_artem	0.0446	1
3822B1FI1	solovev_alexey	0.0447	1
3822B1PE1	belov_artem	0.0448	18
FAST	FAST	0.0453	-
3822B1PE1	korablev_vladlen	0.0455	7
3822B1PE1	shvedova_vitalina	0.0461	9
3822B1FI1	elvin_veliev	0.0465	3
3822B1PE1	konstantinov_ilya	0.0468	3
3822B1PE1	gnitienko_kirill	0.0480	10
3822B1FI3	solovyev_danila	0.0480	5
3822B1FI2	shkurinskaya_elena	0.0486	2
3822B1PE2	ermolaev_vladislav	0.0499	2
3822B1FI2	markin_ivan	0.0501	4
3822B1PE2	titov_semyon	0.0503	1
3822B1PE2	zolotareva_arina	0.0509	11
3822B1PE1	sadikov_ivan	0.0515	5
3822B1PE4	shuravina_oksana	0.0517	2
3822B1PE1	sidorina_polina	0.0518	17
3822B1FI3	lavrentyev_alexey	0.0518	3
3822B1PE1	kapustin_ivan	0.0519	22
3822B1PE3	sotskov_andrey	0.0524	1
3822B1FI1	ionova_ekaterina	0.0527	4
3822B1PE4	karaseva_ekaterina	0.0528	4
3822B1FI3	kirill_kholin	0.0529	2
3822B1PE1	kalyakina_anastasia	0.0530	16
3822B1PE2	sorokin_andrey	0.0531	4
3822B1FI3	koshkin_nikita	0.0531	4
3822B1PE4	kolokolova_darya	0.0531	5
3822B1FI2	yasakova_tanya	0.0532	1
3822B1PE1	vedernikova_kseniya	0.0535	23
3822B1PE2	kondratev_yaroslav	0.0535	3
3822B1PE4	podovinnikov_artyom	0.0535	1
3822B1FI1	shulpin_ilya	0.0538	2
3822B1PE2	gusev_nikita	0.0546	12
3822B1PE1	krylov_mikhail	0.0547	2
3822B1PE3	kazunin_nikita	0.0547	2
3822B1PE1	khasanyanov_kirill	0.0562	11
REF	REF	0.0563	-
3822B1PE1	vasilev_sergey	0.0571	19
3822B1PE2	vladimirova_julia	0.0574	10
3822B1FI3	kudryashova_irina	0.0589	1
3822B1PE2	muradov_mike	0.0590	6
3822B1PE1	korneeva_ekaterina	0.0670	24
3822B1PE1	ermilova_darya	0.0681	13
3822B1PE1	morozov_egor	0.0683	20
3822B1FI2	mezhuev_maksim	0.0751	3
3822B1FI1	komshina_daria	0.0763	5
3822B1PE3	oturin_alexander	0.0784	3
3822B1PE4	zinoviev_alexander	0.0787	3
3822B1PE2	mukhina_margarita	0.0789	7
3822B1PE1	odintsov_misha	0.1022	12
3822B1PE1	vershinina_alexandra	0.1218	14
3822B1PE2	filatiev_vladislav	0.5419	9
3822B1PE2	filatieva_elizaveta	0.7555	8
3822B1PE1	nikolaev_roman	0.7786	8
3822B1PE2	varfolomeev_gregory	TEST FAILED	-
3822B1PE2	kavtorev_dmitry	TEST FAILED	-
3822B1PE2	kalinin_dmitry	TEST FAILED	-
3822B1FI3	kholin_kirill	TEST FAILED	-
3822B1PE4	ghanga_junior	BUILD FAILED	-

8_fft_cufft (131072 elements)

Group	Name	Result	Rank
3822B1PE1	belov_artem	0.0903	19
3822B1PE1	korneeva_ekaterina	0.0909	23
FAST	FAST	0.1075	-
3822B1PE1	kapustin_ivan	0.1084	22
3822B1PE1	rams_sergei	0.1094	4
3822B1PE1	moiseev_artem	0.1100	1
3822B1PE1	ermilova_darya	0.1105	13
3822B1PE1	vedernikova_kseniya	0.1106	24
3822B1PE1	tyurin_mikhail	0.1108	14
3822B1PE1	krylov_mikhail	0.1109	2
3822B1PE1	shvedova_vitalina	0.1117	9
3822B1PE2	kalinin_dmitry	0.1128	15
3822B1PE3	sarafanov_maxim	0.1163	4
3822B1PE1	sorochkin_danila	0.1219	25
3822B1PE1	milovankin_maxim	0.1222	5
3822B1PE1	khasanyanov_kirill	0.1226	12
3822B1PE4	karaseva_ekaterina	0.1226	5
3822B1FI3	solovyev_danila	0.1228	5
3822B1PE2	korovin_nikita	0.1231	3
3822B1PE4	podovinnikov_artyom	0.1235	1
3822B1FI3	lavrentyev_alexey	0.1235	4
3822B1FI3	koshkin_nikita	0.1240	3
3822B1PE2	zolotareva_arina	0.1243	14
3822B1FI1	ionova_ekaterina	0.1245	4
3822B1PE3	oturin_alexander	0.1248	2
3822B1PE1	gnitienko_kirill	0.1249	16
3822B1PE2	gusev_nikita	0.1252	11
3822B1PE2	varfolomeev_gregory	0.1254	12
3822B1FI2	mezhuev_maksim	0.1262	3
3822B1FI1	somov_ivan	0.1264	6
3822B1PE1	vasilev_sergey	0.1266	20
3822B1PE4	kolokolova_darya	0.1266	4
3822B1PE2	vladimirova_julia	0.1268	10
3822B1PE2	ermolaev_vladislav	0.1272	2
3822B1PE3	kazunin_nikita	0.1279	1
3822B1PE4	shuravina_oksana	0.1280	2
3822B1PE1	odintsov_misha	0.1291	11
3822B1PE1	sadikov_ivan	0.1300	6
3822B1FI1	solovev_alexey	0.1304	1
3822B1FI1	elvin_veliev	0.1309	3
3822B1FI3	kirill_kholin	0.1311	1
3822B1PE2	filatiev_vladislav	0.1347	9
3822B1FI2	markin_ivan	0.1362	4
3822B1PE1	nikolaev_roman	0.1365	7
3822B1PE2	kavtorev_dmitry	0.1381	13
3822B1PE2	mukhina_margarita	0.1397	5
3822B1PE1	sidorina_polina	0.1398	17
3822B1FI1	shulpin_ilya	0.1400	2
3822B1PE1	korablev_vladlen	0.1401	8
3822B1PE1	kalyakina_anastasia	0.1406	15
3822B1FI1	komshina_daria	0.1420	5
3822B1PE2	muradov_mike	0.1422	4
3822B1PE3	sotskov_andrey	0.1424	3
3822B1PE2	kondratev_yaroslav	0.1438	7
3822B1FI2	yasakova_tanya	0.1459	1
3822B1PE1	morozov_egor	0.1522	18
3822B1PE2	sorokin_andrey	0.1543	6
3822B1FI3	kudryashova_irina	0.1546	2
3822B1PE2	filatieva_elizaveta	0.1555	8
3822B1PE1	voroshilov_vitaliy	0.1640	26
3822B1PE2	titov_semyon	0.1697	1
3822B1PE4	zinoviev_alexander	0.1713	3
3822B1PE1	polikanov_vitaliy	0.1718	21
REF	REF	0.2228	-
3822B1PE1	vershinina_alexandra	0.2334	10
3822B1FI2	shkurinskaya_elena	0.2335	2
3822B1PE1	konstantinov_ilya	0.2411	3
3822B1PE4	ghanga_junior	BUILD FAILED	-

9_gelu_ocl (134217728 elements)

Group	Name	Result	Rank
FAST	FAST	0.1188	-
3822B1PE1	korneeva_ekaterina	0.1826	22
3822B1PE2	kavtorev_dmitry	0.1869	12
3822B1FI2	mezhuev_maksim	0.1879	3
3822B1PE2	kalinin_dmitry	0.1979	13
3822B1FI2	shkurinskaya_elena	0.1981	2
3822B1PE1	belov_artem	0.2037	17
3822B1PE4	karaseva_ekaterina	0.2239	3
3822B1PE2	varfolomeev_gregory	0.2261	11
3822B1PE2	korovin_nikita	0.2294	5
3822B1FI1	ionova_ekaterina	0.2464	5
3822B1PE3	oturin_alexander	0.2614	3
3822B1PE1	kapustin_ivan	0.2618	21
3822B1PE1	morozov_egor	0.2646	18
3822B1FI3	kirill_kholin	0.2672	2
3822B1PE4	ghanga_junior	0.2706	6
3822B1FI3	lavrentyev_alexey	0.2706	3
3822B1PE1	khasanyanov_kirill	0.2711	10
3822B1PE3	sotskov_andrey	0.2949	2
3822B1FI3	kudryashova_irina	0.2983	1
3822B1PE4	kolokolova_darya	0.2995	4
3822B1FI1	shulpin_ilya	0.3014	1
3822B1PE1	krylov_mikhail	0.3019	2
3822B1PE2	vladimirova_julia	0.3043	10
3822B1PE4	zinoviev_alexander	0.3043	5
3822B1PE2	ermolaev_vladislav	0.3052	7
3822B1PE3	sarafanov_maxim	0.3099	4
3822B1PE1	rams_sergei	0.3110	5
3822B1PE4	podovinnikov_artyom	0.3114	1
3822B1PE1	moiseev_artem	0.3126	1
3822B1PE1	korablev_vladlen	0.3132	7
3822B1PE1	vasilev_sergey	0.3139	19
3822B1PE4	shuravina_oksana	0.3139	2
3822B1PE3	kazunin_nikita	0.3168	1
3822B1PE1	milovankin_maxim	0.3182	3
3822B1FI3	koshkin_nikita	0.3215	5
3822B1PE1	sorochkin_danila	0.3303	23
3822B1FI2	markin_ivan	0.3350	4
3822B1PE2	filatiev_vladislav	0.3362	9
3822B1PE2	muradov_mike	0.3372	8
3822B1FI1	elvin_veliev	0.3385	3
3822B1PE1	sidorina_polina	0.3389	16
3822B1PE1	ermilova_darya	0.3401	11
3822B1PE1	shvedova_vitalina	0.3413	8
3822B1FI3	solovyev_danila	0.3414	4
REF	REF	0.3419	-
3822B1FI2	yasakova_tanya	0.3426	1
3822B1PE1	polikanov_vitaliy	0.3429	20
3822B1PE1	kalyakina_anastasia	0.3438	24
3822B1FI1	solovev_alexey	0.3438	2
3822B1FI1	komshina_daria	0.3439	4
3822B1PE1	odintsov_misha	0.3453	12
3822B1PE1	tyurin_mikhail	0.3455	13
3822B1PE1	sadikov_ivan	0.3460	14
3822B1PE2	filatieva_elizaveta	0.3476	4
3822B1PE1	voroshilov_vitaliy	0.3491	25
3822B1PE2	mukhina_margarita	0.3493	2
3822B1PE2	kondratev_yaroslav	0.3494	6
3822B1PE1	gnitienko_kirill	0.3500	15
3822B1PE2	titov_semyon	0.3591	1
3822B1PE1	nikolaev_roman	0.3601	6
3822B1PE1	konstantinov_ilya	0.3629	4
3822B1PE2	sorokin_andrey	0.3648	3
3822B1PE1	vershinina_alexandra	0.6035	9
3822B1PE1	vedernikova_kseniya	RUN FAILED	-
3822B1PE2	gusev_nikita	BUILD FAILED	-
3822B1FI1	somov_ivan	BUILD FAILED	-

Tasks Done

3822B1FI1

Group	Name	Passed	Score
3822B1FI1	Ionova_ekaterina	1/9	60
3822B1FI1	elvin_veliev	9/9	536
3822B1FI1	ionova_ekaterina	9/9	523
3822B1FI1	komshina_daria	9/9	516
3822B1FI1	shulpin_ilya	9/9	542
3822B1FI1	solovev_alexey	9/9	552
3822B1FI1	somov_ivan	8/9	455

Passed: 5

3822B1FI2

Group	Name	Passed	Score
3822B1FI2	markin_ivan	9/9	521
3822B1FI2	mezhuev_maksim	9/9	540
3822B1FI2	sdobnov_vladimir	5/9	304
3822B1FI2	shkurinskaya_elena	9/9	553
3822B1FI2	yasakova_tanya	9/9	558

Passed: 4

3822B1FI3

Group	Name	Passed	Score
3822B1FI3	kholin_kirill	3/9	190
3822B1FI3	kirill_kholin	9/9	553
3822B1FI3	koshkin_nikita	9/9	520
3822B1FI3	kudryashova_irina	9/9	545
3822B1FI3	lavrentyev_alexey	9/9	533
3822B1FI3	solovyev_danila	9/9	521

Passed: 5

3822B1PE1

Group	Name	Passed	Score
3822B1PE1	belov_artem	9/9	370
3822B1PE1	ermilova_darya	9/9	370
3822B1PE1	gnitienko_kirill	9/9	371
3822B1PE1	kalyakina_anastasia	9/9	317
3822B1PE1	kapustin_ivan	9/9	285
3822B1PE1	khasanyanov_kirill	9/9	359
3822B1PE1	konstantinov_ilya	9/9	417
3822B1PE1	korablev_vladlen	9/9	423
3822B1PE1	korneeva_ekaterina	9/9	277
3822B1PE1	krylov_mikhail	9/9	456
3822B1PE1	milovankin_maxim	9/9	437
3822B1PE1	moiseev_artem	9/9	472
3822B1PE1	morozov_egor	9/9	315
3822B1PE1	nikolaev_roman	9/9	369
3822B1PE1	odintsov_misha	9/9	301
3822B1PE1	polikanov_vitaliy	9/9	300
3822B1PE1	rams_sergei	9/9	471
3822B1PE1	sadikov_ivan	9/9	401
3822B1PE1	shvedova_vitalina	9/9	429
3822B1PE1	sidorina_polina	9/9	298
3822B1PE1	sorochkin_danila	9/9	261
3822B1PE1	tyurin_mikhail	9/9	401
3822B1PE1	vasilev_sergey	9/9	276
3822B1PE1	vedernikova_kseniya	8/9	239
3822B1PE1	vershinina_alexandra	9/9	296
3822B1PE1	voroshilov_vitaliy	9/9	201

Passed: 25

3822B1PE2

Group	Name	Passed	Score
3822B1PE2	ermolaev_vladislav	9/9	503
3822B1PE2	filatiev_vladislav	9/9	440
3822B1PE2	filatieva_elizaveta	9/9	438
3822B1PE2	gusev_nikita	8/9	368
3822B1PE2	kalinin_dmitry	8/9	368
3822B1PE2	kavtorev_dmitry	8/9	370
3822B1PE2	kondratev_yaroslav	9/9	475
3822B1PE2	korovin_nikita	9/9	498
3822B1PE2	mukhina_margarita	9/9	485
3822B1PE2	muradov_mike	9/9	466
3822B1PE2	sorokin_andrey	9/9	458
3822B1PE2	titov_semyon	9/9	504
3822B1PE2	varfolomeev_gregory	6/9	272
3822B1PE2	vladimirova_julia	9/9	429
3822B1PE2	zolotareva_arina	8/9	416

Passed: 10

3822B1PE3

Group	Name	Passed	Score
3822B1PE3	kazunin_nikita	9/9	547
3822B1PE3	oturin_alexander	9/9	558
3822B1PE3	sarafanov_maxim	9/9	535
3822B1PE3	sotskov_andrey	9/9	556

Passed: 4

3822B1PE4

Group	Name	Passed	Score
3822B1PE4	ghanga_junior	6/9	341
3822B1PE4	karaseva_ekaterina	9/9	525
3822B1PE4	kolokolova_darya	9/9	530
3822B1PE4	podovinnikov_artyom	9/9	551
3822B1PE4	shuravina_oksana	9/9	545
3822B1PE4	zinoviev_alexander	9/9	532

Passed: 5

Total Passed: 58

---

*Maximum Score: 576 (64 per task) *