high performance computing on graphics processing units: hgpu.org

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, MPI, nVidia, Programming techniques, Tesla M2070

July 5, 2012 by hgpu

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

R.F. Barrett, S.D. Hammond, C.T. Vaughan, D.W. Doerfler, M.A. Heroux

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

July 5, 2012 by hgpu

Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

V.N. Pistulkar, C.A. Uttarwar

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Tags: Computer science, CUDA, GPU cluster, nVidia, PTX, Tesla C1060

July 5, 2012 by hgpu

Interactive Quantum Chemistry: A Divide-and-Conquer ASED-MO Method

Mael Bosson, Caroline Richard, Antoine Plet, Sergei Grudinin, Stephane Redon

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce GTX 260

July 5, 2012 by hgpu

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

Rafael Rodriguez-Sanchez, Jose Luis Martinez, Gerardo Fernandez-Escribano, Jose Luis Sanchez, Jose Manuel Claver

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Tags: Compression, Computational Complexity, CUDA, H.264/AVC, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480

July 4, 2012 by hgpu

GPU Parallelization of an Unstructured Overset Grid Incompressible Navier-Stokes Solver for Moving Bodies

Dominic D.J. Chandar, Jay Sitaraman, Dimitri Mavriplis

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Tags: Algorithms, CUDA, Fluid dynamics, Laplace and Poisson equation, MPI, nVidia, Tesla C2050

July 4, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Particle Swarm Optimization on Graphical Processing Unit for Pose Estimation

Sparselet Models for Efficient Multiclass Object Detection

Parallel Memory Defragmentation on a GPU

Image and Video Processing on GPU: Implementation Scheme, Applications and Future Directions

High Performance System in GPU and CUDA Media Processing System

fMRI analysis on the GPU-possibilities and challenges

A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

Interactive Quantum Chemistry: A Divide-and-Conquer ASED-MO Method

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

GPU Parallelization of an Unstructured Overset Grid Incompressible Navier-Stokes Solver for Moving Bodies

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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

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

Bandicoot: C++ library for GPU accelerated linear algebra

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

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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