high performance computing on graphics processing units: hgpu.org

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Parallelizing Simulated Annealing-Based Placement Using GPGPU

Alexander Choong, Rami Beidas, Jianwen Zhu

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Tags: Numerical simulation, nVidia, nVidia GeForce GTX 280, Physics

April 5, 2011 by hgpu

Multi-mass solvers for lattice QCD on GPUs

A. Alexandru, C. Pelissier, B. Gamari, F. Lee

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, QCD

March 29, 2011 by hgpu

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

John C. Quinn, Henry D. I. Abarbanel

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Physics, Probability, Statistics

March 28, 2011 by hgpu

Study on Transient Temperature Field Parallel Computing in Cooling Control Based on a GPU Fourier Method

Liang Wang, Yi-sheng Zhang

Tags: CUDA, nVidia, Physics, Thermodynamics

March 27, 2011 by hgpu

Using GPUs for beamforming acceleration on SAFT imaging

D. Romero, O. Martinez-Graullera, C.J. Martin, R.T. Higuti, A. Octavio

Tags: Filtering, Image reconstruction, Physics, Signal processing, Ultrasound

March 24, 2011 by hgpu

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

A. Balevic, L. Rockstroh, A. Tausendfreund, S. Patzelt, G. Goch, S. Simon

Tags: Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, Optics, Physics

March 24, 2011 by hgpu

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

M. Bernaschi, G. Parisi, L. Parisi

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

March 9, 2011 by hgpu

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

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Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Physics, Signal processing, Tesla C1060

March 3, 2011 by hgpu

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

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Tags: Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 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

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

Parallelizing Simulated Annealing-Based Placement Using GPGPU

Multi-mass solvers for lattice QCD on GPUs

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

Study on Transient Temperature Field Parallel Computing in Cooling Control Based on a GPU Fourier Method

Using GPUs for beamforming acceleration on SAFT imaging

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

General-purpose molecular dynamics simulations on GPU-based clusters

Statistical constraints on binary black hole inspiral dynamics

Building Correlators with Many-Core Hardware

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Recent source codes

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

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

SIGMo: Scalable Isomorphism Graph Matching on GPUs

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

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