high performance computing on graphics processing units: hgpu.org

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42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Tsuyoshi Hamada, Tetsu Narumi, Rio Yokota, Kenji Yasuoka, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, CUDA, Fast multipole method, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Performance

November 28, 2010 by hgpu

Accuracy and performance of graphics processors: A Quantum Monte Carlo application case study

Jeremy S. Meredith, Gonzalo Alvarez, Thomas A. Maier, Thomas C. Schulthess, Jeffrey S. Vetter

Tags: Computer science, Monte Carlo simulation, Performance

November 27, 2010 by hgpu

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

Sundaresan Venkatasubramanian, Richard W. Vuduc, None None

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 570, Performance, Tesla C1060, Tesla C870

November 22, 2010 by hgpu

Efficient simulation of agent-based models on multi-GPU and multi-core clusters

Brandon G. Aaby, Kalyan S. Perumalla, Sudip K. Seal

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenMPI, Performance

November 22, 2010 by hgpu

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard Vuduc

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Tags: Computer science, CUDA, Fast multipole method, MPI, nVidia, OpenMP, Performance, Tesla S1070

November 19, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 2010 by hgpu

A Graphics Parallel Memory Organization Exploiting Request Correlations

George Lentaris, Dionysios Reisis

Tags: Computer science, Performance, Storage system

November 17, 2010 by hgpu

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

S. Tomov, M. McGuigan, R. Bennett, G. Smith, J. Spiletic

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Tags: Cg, Computer science, Ising model, Monte Carlo simulation, nVidia, Performance, Physics

November 13, 2010 by hgpu

Tiling for Performance Tuning on Different Models of GPUs

Chang Xu, Steven R. Kirk, Samantha Jenkins

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, Performance

November 13, 2010 by hgpu

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

Exploring the Limits of GPUs With Parallel Graph Algorithms

Frank Dehne, Kumanan Yogaratnam

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, Performance

November 12, 2010 by hgpu

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

November 11, 2010 by hgpu

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

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

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

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Accuracy and performance of graphics processors: A Quantum Monte Carlo application case study

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

Efficient simulation of agent-based models on multi-GPU and multi-core clusters

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

A Graphics Parallel Memory Organization Exploiting Request Correlations

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

Tiling for Performance Tuning on Different Models of GPUs

RapidMind: Portability across Architectures and its Limitations

Exploring the Limits of GPUs With Parallel Graph Algorithms

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Recent source codes

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)

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

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

SIGMo: Scalable Isomorphism Graph Matching on GPUs

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Most viewed papers (last 30 days)