high performance computing on graphics processing units: hgpu.org

Yiran Lei, Dongjoo Lee, Liangyu Zhao, Daniar Kurniawan, Chanmyeong Kim, Heetaek Jeong, Changsu Kim, Hyeonseong Choi, Liangcheng Yu, Arvind Krishnamurthy, Justine Sherry, Eriko Nurvitadhi

View

Download (PDF)

Tags: AMD Radeon Instinct MI300X, ATI, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia A100, nVidia B200, nVidia H100

May 25, 2025 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Feifei Li

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia A100, Package, Performance, Prefetch

May 18, 2025 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

LiteGD: Lightweight and dynamic GPU Dispatching for Large-scale Heterogeneous Clusters

A CPU+FPGA OpenCL Heterogeneous Computing Platform for Multi-Kernel Pipeline

GPU Acceleration of SQL Analytics on Compressed Data

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

Acceleration as a Service (XaaS) Source Containers

FLASH: Fast All-to-All Communication in GPU Clusters

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model