Discover ParCoreLab/CPU-Free-model Open Source project by @ParCoreLab

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16
Rank 1,311,065 (Top 26 %)
Language Cuda
License
MIT License
Created over 2 years ago
Updated 6 months ago

ParCoreLab

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Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.

ComScribe

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

C++

Snoopie

Multi-GPU communication profiler and visualizer

ReuseTracker

A fast and accurate reuse distance analyzer for multi-threaded applications. It leverages existing hardware features in commodity CPUs.

Shell

SpTRSV_Framework

The SpTRSV prediction framework is an automated prediction framework for the fastest sparse triangular solve (SpTRSV) algorithm for a given input sparse matrix on a CPU-GPU platform.

C++

mixed-and-multi-spmv

Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection.

Cuda

multi-GPU-comm-bench

Cuda

Split_SpTRSV

The split execution framework can automatically determine the suitability of an SpTRSV for split-execution, find the appropriate split point, and execute SpTRSV in a split fashion using two SpTRSV algorithms while automatically managing any required inter-platform communication. The model is implemented as a C++/CUDA library supporting multiple CPU-GPU algorithms.

C++

ParCoreTools

C++

pardnn

C++

gpu-fusion

GPU fusion code and algorithm

Cuda

PES-artifact

ParCoreLab/CPU-Free-model

ParCoreLab

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