high performance computing on graphics processing units: hgpu.org

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Zheng Wei, Joseph JaJa

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Heterogeneous systems, nVidia, Tesla C1060

December 28, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

Scalable multi-GPU implementation of the MAGFLOW simulator

Eugenio Rustico, Giuseppe Bilotta, Alexis Herault, Ciro Del Negro, Giovanni Gallo

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

December 24, 2011 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 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

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Building Source-to-Source Compilers for Heterogeneous Targets

Augmenting Operating Systems With the GPU

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Engineering Concurrent Software Guided by Statistical Performance Analysis

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Modeling Parallel Programs for Heterogeneous Computing

Scalable multi-GPU implementation of the MAGFLOW simulator

Numerical solution of PDEs with hybrid and heterogeneous computing models

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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