ian-ofgod

awesome-vector-database

Awesome List of Vector DB resources

perf-ninja

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

digital-circuits-project

VHDL implementation of a working-zone based encoding of addresses

gapbs

GAP Benchmark Suite

GettingStarted

Collection of small examples for running on ALCF resources

s-blas

This package includes the implementation for four sparse linear algebra kernels: Sparse-Matrix-Vector-Multiplication (SpMV), Sparse-Triangular-Solve (SpTRSV), Sparse-Matrix-Transposition (SpTrans) and Sparse-Matrix-Matrix-Multiplication (SpMM) for Single-node Multi-GPU (scale-up) platforms such as NVIDIA DGX-1 and DGX-2.

awesome-esp

📶 A curated list of awesome ESP8266/32 projects and code

nccl

Optimized primitives for collective multi-GPU communication

syclacademy

SYCL Academy, a set of learning materials for SYCL heterogeneous programming

kokkos-remote-spaces

This repository contains Kokkos Remote Spaces, which implements distributed shared memory support for Kokkos.

kokkos-tutorials

Tutorials for the Kokkos C++ Performance Portability Programming Ecosystem

alcl

Argonne Leadership Computing Facility OpenCL tutorial

ATPESC

Materials for the OpenMP lecture at the ATPESC

hands-on-with-frontier

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

cuda-api-wrappers

Thin, unified, C++-flavored wrappers for the CUDA APIs

ucc

Unified Collective Communication Library

gmt

Global Memory and Threading runtime system

hwloc

Hardware locality (hwloc)

likwid

Performance monitoring and benchmarking suite

starlight

Starlight: A Kernel Optimizer for GPU Processing

faiss

A library for efficient similarity search and clustering of dense vectors.

HeCBench

ThrustRTC

CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.

jitify

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

gpu-kernel-runner

Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line

tutorial-multi-gpu

Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial

LOGAN

LOGAN: High-Performance Multi-GPU X-Drop Long-Read Alignment.

gpjson

GPU-based JSON data processing system accessible via all GraalVM languages

papers-we-love

Papers from the computer science community to read and discuss.