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exercise

exercise for nndl

falcon

Library for fast image convolution in neural networks on Intel Architecture

fast-linear-regression

Fast Linear Regression in C

fast-neural-style-1

pytorch implementation of fast-neural-style

fastai

The fastai deep learning library, plus lessons and and tutorials

fds

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

feathercnn

神经网络高性能计算

finepar

FinePar: Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures

finn

A Framework for Fast, Scalable Binarized Neural Network Inference

fiona

Fortran IO Netcdf Assembly

flogging

A Fortran logging system with MPI support

fmm-gen

Generating Families of Practical Fast Matrix Multiplication Algorithms

fms

GFDL's Flexible Modeling System

fritz-models

Train and deploy machine learning models for mobile apps with Fritz.

functional-mpi-wrapper

Functional MPI wrapper for Fortran

fusionserver

图像智能融合项目的后台服务器工程！

fvlbm

finite volume lattice Boltzmann metood

g-darknet

darknet with GIoU

gasnet-am-benchmarks

All relevant code and benchmarks for paper submitted to "Parallel Applications Workshop - Alternatives to MPI+X 2019".

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gemm-basic-bench

Simple codes (python and C) to benchmark simple GEMM

gemm-optimization

My experiments on optimizing GEMM

gemm-raspberrypi-cluster

General matrix multiplication optimized in four different ways for Raspberry Pi clusters

gemm_bench

Benchmark small GEMMs

gemm_implementations

gemm_optimization

The repository targets the gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能，提供binary，开盒即用。

gemm_parallel

parallel matrix multiplication using pthreads and openmp

gemmbenchmark

gemmefficiency

gemmlowp

Low-precision matrix multiplication