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107 search results found

Cpu X ⭐ 1,902

CPU-X is a Free software that gathers information on CPU, motherboard and more

Vkfft ⭐ 1,394

Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

Detect Gpu ⭐ 984

Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.

Oceananigans.jl ⭐ 853

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

CUDA on Intel GPUs

GPU Powered BLAS for Browsers 💎

Spark Rapids ⭐ 619

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Nvbench ⭐ 356

CUDA Kernel Benchmarking Library

Mixbench ⭐ 305

A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

Pyhpc Benchmarks ⭐ 290

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python 🚀

Babelstream ⭐ 283

STREAM, for lots of devices written in many programming models

Metalnanovg ⭐ 182

The Metal port of NanoVG.

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

Gl Bench ⭐ 177

⏱ WebGL performance monitor with CPU/GPU load.

Yacclab ⭐ 171

YACCLAB: Yet Another Connected Components Labeling Benchmark

Benchmarks ⭐ 157

Comparison tools

Densematchingbenchmark ⭐ 136

Dense Matching Benchmark

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Elbencho ⭐ 125

A distributed storage benchmark for file systems, object stores & block devices with support for GPUs

Tf Metal Experiments ⭐ 123

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

Dlcookbook Dlbs ⭐ 120

Deep Learning Benchmarking Suite

Gpu Rodinia ⭐ 108

Rodinia benchmark

Gpusimilarity ⭐ 85

A Cuda/Thrust implementation of fingerprint similarity searching

Opencl Benchmark ⭐ 81

A small OpenCL benchmark program to measure peak GPU/CPU performance.

Eraserbenchmark ⭐ 70

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

Apple M1 Bert ⭐ 61

Cuda_scheduling_examiner_mirror ⭐ 50

A tool for examining GPU scheduling behavior.

Fast_retraining ⭐ 50

Show how to perform fast retraining with LightGBM in different business cases

Ncnn Android Benchmark ⭐ 47

ncnn android benchmark app

Pytorch Benchmark ⭐ 47

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

Res2net Maskrcnn ⭐ 44

Res2Net for Instance segmentation and Object detection using MaskRCNN

Graphbig ⭐ 43

A Comprehensive Benchmark Suite for Graph Computing

Dlinfbench ⭐ 42

CNN model inference benchmarks for some popular deep learning frameworks

A library of GPU kernels for sparse matrix operations.

Hetero Mark ⭐ 39

A Benchmark Suite for Heterogeneous System Computation

Gpumembench ⭐ 39

A GPU benchmark suite for assessing on-chip GPU memory bandwidth

Game Of Life Cuda ⭐ 38

CPU vs GPU benchmarks on Conway's Game of Life

Nvidia_libs_test ⭐ 35

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Turnkeyml ⭐ 34

The AI insights toolchain

Cuda Md5 Crack ⭐ 31

MD5 password cracker for CUDA

Deep Learning Benchmarks ⭐ 31

Fahbench ⭐ 27

Folding@home GPU benchmark

CUDA Tensor Transpose (cuTT) library

Distributeddeeplearning ⭐ 24

Distributed Deep Learning using AzureML

A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.

Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:

Multi-GPU Computing Benchmark Suite (CUDA)

Hpl Cuda ⭐ 23

simple port of hpl-2.0 to use NVIDIA GPU accelation with CUBLAS

gpuprec: Extended-Precision Libraries on GPUs

Pennylane Qulacs ⭐ 22

The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.

Gpgpu Sim_uvmsmart ⭐ 20

Source code of the simulator used in the Mosaic paper from MICRO 2017: "Mosaic: A GPU Memory Manager with Application-Transparent Support for Multiple Page Sizes" https://people.inf.ethz.ch/omutlu/pub/mosaic-appli

Gbm Benchmarks ⭐ 18

Hier R Cnn ⭐ 18

Hier R-CNN: Instance-level Human Parts Detection and A New Benchmark

Cpu Gpu Benchmark ⭐ 18

CPU-Benchmark CPU单核多核跑分图

Ispass2009 Benchmarks ⭐ 18

Benchmarks used in the gpgpu-sim ispass 2009 paper

Gldelegatebench ⭐ 17

quick and dirty inference time benchmark for TFLite gles delegate

Hashcatbenchmark ⭐ 17

Benchmark in Hashcat for diferents GPU's

Minimap2 Acceleration ⭐ 17

Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: Open Source Repository

Vovnet Detectron ⭐ 17

Detectron with VoVNet(CVPRW'19) backbone networks

Fastmerkle ⭐ 17

Compute bitcoin merkle trees on your GPU

Deeplearningbenchmarks ⭐ 16

Benchmarks across Deep Learning Frameworks in Julia and Python

Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite

Cuda Gpu Tlb ⭐ 15

Comm_scope ⭐ 14

NUMA-aware multi-CPU multi-GPU data transfer benchmarks

Comscribe ⭐ 14

ComScribe is a tool to identify communication among all GPU-GPU and CPU-GPU pairs in a single-node multi-GPU system.

Microbench ⭐ 13

Benchmarking and metadata tracking for Python. Extensible, with distributed/cluster support.

Scimlbenchmarksoutput ⭐ 13

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

Performance Evaluation Benchmark ⭐ 13

Power_benchmarks ⭐ 12

Profiling power consumption of a neuromorphic keyword spotter.

Numba Cuda Users ⭐ 12

An informal list of libraries, programs, examples, and benchmarks using the Numba CUDA target

NAS Parallel Benchmarks for GPU

Gldelegatebenchmark ⭐ 12

quick and dirty benchmark for TFLite gles delegate on iOS

Benchmark_gpu_platforms ⭐ 12

Code for the GPU mega-benchmark article

Cuda_event_benchmark ⭐ 12

Unit benchmarks of CUDA event APIs.

Opu Benchmarks ⭐ 11

ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.

Llfi Gpu ⭐ 10

Fault injector for GPUs based on the LLFI Fault Injection Tool

Mocha Gemm Profile ⭐ 10

profiling gemm on android

Dl_text_classification ⭐ 10

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

Scripts for Runtime, Maintenance, etc.

Cnn Mobile Benchmark ⭐ 9

benchmark of caffe net on mobile architecture

Gpu Integers Compression ⭐ 9

GPU-Accelerated Faster Decoding of Integer Lists

BitGPU is a GPU approach to solve the bitwidth optimization problem in FPGA datapaths.

Cublasgemm Benchmark ⭐ 8

code for benchmarking GPU performance based on cublasSgemm and cublasHgemm

Fasttensor ⭐ 8

C++ library for tensors

Cnn Gpu Benchmarks ⭐ 8

Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR

Parallelisation of financial benchmarks

Hsrm Fork ⭐ 8

Rnn_benchmark ⭐ 8

Which GPU should we buy?

iMLBench is a machine learning benchmark suite targeting CPU-GPU integrated architectures.

GPU library for writing SQL queries

Cudaraster ⭐ 7

fork of NVIDIA's cudaraster for research use, taken from http://code.google.com/p/cudaraster/

Gpu Normal Computation ⭐ 7

Performing normal computation for big point clouds on the gpu using openCL

Mxnet Benchmark ⭐ 7

Benchmark designed to test all kind of graphics cards in DOS environments.

Gpu Injector ⭐ 6

A Fault Injector for GPGPU applications

GPU Code optimizer for stencil computations. Refer to our IPDPS'19 paper for more details

Cuda_benchmark ⭐ 6

A library to benchmark CUDA code, similar to google benchmark.

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