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Compressive Phase Contrast Tomography

F. R. N. C. Maia, A. MacDowell, S. Marchesini, H. A. Padmore, D. Y. Parkinson, J. Pien, A. Schirotzek, C. Yang

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Tags: CUDA, FFT, nVidia, Optics, Physics, Radon transform, Tesla C1060, Tomography

November 10, 2010 by hgpu

Sop-GPU: Accelerating biomolecular simulations in the centisecond timescale using graphics processors

A. Zhmurov, R. I. Dima, Y. Kholodov, V. Barsegov

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Tags: Bioinformatics, Biomolecular assemblies, Chemistry, CUDA, Dynamic force spectroscopy, Langevin dynamics, Molecular dynamics, nVidia, nVidia GeForce GTX 295

November 9, 2010 by hgpu

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Zhen Tian, Xun Jia, Kehong Yuan, Tinsu Pan, Steve B. Jiang

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Tags: Computed tomography, CT, CUBLAS, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 9, 2010 by hgpu

How to obtain efficient GPU kernels: an illustration using FMM & FGT algorithms

Felipe A. Cruz, Simon K. Layton, Lorena A. Barba

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Tags: Computer science, CUDA, Fast summation methods, Mathematical Software, nVidia, Tesla C1060

November 9, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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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

November 9, 2010 by hgpu

Improving many flavor QCD simulations using multiple GPUs

M. Hayakawa, K.-I. Ishikawa, Y. Osaki, S. Takeda, S. Uno, N. Yamada

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMP, Physics, QCD

November 9, 2010 by hgpu

Direct N-body simulations of globular clusters: (I) Palomar 14

Akram Hasani Zonoozi, Andreas H.W. Kuepper, Holger Baumgardt, Hosein Haghi, Pavel Kroupa, Michael Hilker

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Tags: Astrophysics, Galaxy Astrophysics, Globular clusters, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 280

November 9, 2010 by hgpu

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarch, Yvonnick Le Menach, Jean-Luc Dekeyser

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Sparse matrix, Tesla C870

November 9, 2010 by hgpu

An Exploration of OpenCL for a Numerical Relativity Application

Niket K. Choudhary, Rakesh Ginjupalli, Sandeep Navada, Gaurav Khanna

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Computational Physics, General Relativity and Quantum Cosmology, nVidia, OpenCL, OpenMP, Tesla C2050

November 9, 2010 by hgpu

Multi GPU Performance of Conjugate Gradient Algorithm with Staggered Fermions

Hyung-Jin Kim, Weonjong Lee

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Physics, QCD, Tesla C2050

November 9, 2010 by hgpu

SU(2) Lattice QCD Simulations on Fermi GPUs

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Package, Physics

November 9, 2010 by hgpu

Implementation of the Neuberger-Dirac operator on GPUs

Bjoern Walk, Hartmut Wittig, Egor Dranischnikow, Elmar Schomer

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, QCD, Tesla C2050

November 9, 2010 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

Applications

Compressive Phase Contrast Tomography

Sop-GPU: Accelerating biomolecular simulations in the centisecond timescale using graphics processors

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

How to obtain efficient GPU kernels: an illustration using FMM & FGT algorithms

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Improving many flavor QCD simulations using multiple GPUs

Direct N-body simulations of globular clusters: (I) Palomar 14

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

An Exploration of OpenCL for a Numerical Relativity Application

Multi GPU Performance of Conjugate Gradient Algorithm with Staggered Fermions

SU(2) Lattice QCD Simulations on Fermi GPUs

Implementation of the Neuberger-Dirac operator on GPUs

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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