Dataflow-like execution for complex computations
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Updated
Jan 5, 2020 - Go
Dataflow-like execution for complex computations
A Parallel SQL Query Executor that parses and executes SQL queries using a Thread pool. It also rearranges the predicates by frequency to reduce execution time.
High Perfomance Computing project for parallelizing recursive fibonacci function with the usage of three API (OMP, MPI and CUDA)
Python Rework of the original PaKman code
Observe progress and status of individual workers in pmap
Parallelization library for python3
Source code for the course IN3200 High-performance Computing and Numerical Projects at University of Oslo.
Enhanced Implementation of MissForest Algorithm
Parallel Computing work
A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).
Example of ordered task execution on thread pool in chain model
MATH189 final project, trying to do non-negative matrix factorization in parallel
Snippet repository for learning parallel GPU programming with CUDA.
GPU Steiner is an improved version of a well known KMB algorithm, a two approximation algorithm. We have two implementations seqCPU and parallel GPU version.
A package for synthetic data generation for imputation using single and multiple imputation methods.
DEmultiplexing MOnitoring Report Tool. DEMORT evaluates demultiplexed fastq files by computing various metrics.
An artificial intelligence for the game of Othello (with a grid of 10x10) in Python. Multiples approach used, A-B, multi-threading, bloom's filter, ...
A multi-class classification problem where the task is to classify a file to one of 9 types of Malware usually found in a Windows system, using information from the raw data and metadata of the file.
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