Grow your team on GitHub
GitHub is home to over 28 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.Sign up
CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
Collective Knowledge repository for Kalray's KaNN
CK GUI application to crowdsource benchmarking and optimization of DNN engines and models across diverse Linux or Windows platforms. Further info:
Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
Tuned OpenCL BLAS
The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.
CK dev private repo
CK repository to collaboratively optimize benchmarks, kernels and realistic workloads across Raspberry Pi devices provided by volunteers (starting from compiler flag autotuning). Interactive article with all results:
dividiti's OpenCL API profiler
Collective Knowledge repository for NVIDIA's TensorRT
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
CK-Caffe public benchmarking data on NVIDIA GTX1080
A collection of shader compiler bugs.
CK-Caffe public benchmarking data on Firefly-RK3399
CK-Caffe public benchmarking data on NVIDIA TX1
CK-Caffe public benchmarking data on Samsung Chromebook 2
Developer repository for ViennaCL. Visit http://viennacl.sourceforge.net/ for the latest releases.
Outdated CK entries for CK-Caffe
Benchmark for generic matrix-matrix multiplication (GEMM)
Shared experiments for the ADAPT'16 submission on GEMMbench
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1.
CK-Caffe performance experiments on Samsung Chromebook 2
An extended benchmark for polyhedral compilers