Explore @ParCoreLab Open Source projects

@ParCoreLab

ParCoreLab

Stars
92
Global Org. Rank 60,203 (Top 20 %)
Registered over 10 years ago
Most used languages

C++
41.7 %

Cuda 33.3 %

C
16.7 %

Shell
8.3 %
Location 🇹🇷 Turkey
Country Total Rank 2,132
Country Ranking

Cuda 3

C++
90

Shell
105

C
110

ComScribe

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

Snoopie

Multi-GPU communication profiler and visualizer

CPU-Free-model

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.

ReuseTracker

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

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.

mixed-and-multi-spmv

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

multi-GPU-comm-bench

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.

ParCoreTools

pardnn

gpu-fusion

GPU fusion code and algorithm

PES-artifact