high performance computing on graphics processing units: hgpu.org

Carla Osthoff, Roberto Pinto Souto, Fabricio Vilasboas, Pablo Grunmann, Pedro L. Silva Dias, Francieli Boito, Rodrigo Kassick, Laercio Pilla, Philippe Navaux, Claudio Schepke, Nicolas Maillard, Jairo Panetta, Pedro Pais Lopes, Robert Walko

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 285, Performance, Tesla C2050

April 10, 2012 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Efficient Intranode Communication in GPU-Accelerated Systems

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

An Efficient Work-Distribution Strategy for Gridding Radio-Telescope Data on GPUs

Performance Degradation Analysis of GPU Kernels

Computing Performance Benchmarks among CPU, GPU, and FPGA

Image Convolution Processing: a GPU versus FPGA Comparison

Priority-Based Task Management in a GPGPU Megakernel

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

Improving Atmospheric Model Performance on a Multi-Core Cluster System

Recent source codes