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217-histogram

Histogram

217-matrixmultiply

Matrix Multiply Starter Code

arch-website

Website for UCR Computer Architecture Reading group

arts

Abstract RunTime System

atmi

Asynchronous Task and Memory Interface, or ATMI, is a runtime framework and programming model for heterogeneous CPU-GPU systems. It provides a consistent, declarative API to create task graphs on CPUs and GPUs (integrated and discrete).

bighouse

A simulation infrastructure for data center systems

caffe

Caffe: a fast open framework for deep learning.

caffe-models

canny-edge-detector

Canny edge detector written in CUDA C++.

client

Triton Python and C++ client libraries and example, and client examples for go, java and scala.

colordetect

Color Detection for cubes

cuda-intro

Introduction to CUDA programming

dagee

Directed Acyclic Graph Execution Engine (DAGEE) is a C++ library that enables programmers to express computation and data movement, as task graphs that are scheduled concurrently and asynchronously on both CPUs and GPUs.

dagee-matrix-multiply

dcos

DC/OS Build and Release tools

djinn

Deep Neural Networks (DNNs) as a Service

flink

Mirror of Apache Flink

gcc

gpgpu-sim-container

Containerized gpgpu-sim

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

gpuserverless

OpenFaaS - Serverless Functions Made Simple

groute

Asynchronous Multi-GPU Programming Framework

hcc

HCC is an Open Source, Optimizing C++ Compiler for Heterogeneous Compute currently for the ROCm GPU Computing Platform

hip

HIP : Convert CUDA to Portable C++ Code

hip-examples

Examples for HIP

hipamd

hotspot

HotSpot is an accurate and fast thermal model suitable for use in architectural studies.

inference

Reference implementations of MLPerf™ inference benchmarks

ir2vec

Implementation of IR2Vec, published in ACM TACO

ispass2009-benchmarks

Benchmarks used in the gpgpu-sim ispass 2009 paper