high performance computing on graphics processing units: hgpu.org

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Finite-difference time-domain solver for room acoustics using graphics processing units

Jukka Saarelma

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 690, Thesis, Visualization

January 19, 2014 by hgpu

GPU Computing for Meshfree Particle Method

M. Panchatcharam, S. Sundar, V. Vetrivel, A. Klar, S. Tiwari

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Tags: CUDA, Fluid dynamics, Laplace and Poisson equation, nVidia, Poisson equation, Tesla M2050

January 19, 2014 by hgpu

High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

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Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

Supporting x86-64 Address Translation for 100s of GPU Lanes

Jason Power, Mark D. Hill, David A. Wood

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Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia

January 18, 2014 by hgpu

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Hoemmenx, Jack Dongarra

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla M2090

January 18, 2014 by hgpu

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Ivan Chernov

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Thesis, Visualization

January 18, 2014 by hgpu

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Anand Kumar, Vladimir Grupcev, Yongke Yuan, Jin Huang, Yi-Cheng Tu, Gang Shen

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 570

January 18, 2014 by hgpu

Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator

Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein

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Tags: Benchmarking, Computed tomography, Computer science, CT, Image reconstruction, Intel Xeon Phi, Medicine, Performance

January 17, 2014 by hgpu

Power Profiling of GeMTC Many Task Computing

Sean Wallace, Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, Energy-efficient computing, Intel Xeon Phi, nVidia

January 17, 2014 by hgpu

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Lin Cheng, Hyunsu Cho, Peter A. Yoon

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Tags: CUDA, Image processing, nVidia, Package, Tesla K20

January 17, 2014 by hgpu

Prefiltered Single Scattering

Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Games, nVidia, nVidia GeForce GTX Titan, OpenGL

January 17, 2014 by hgpu

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

Huayou Su, Chunyuan Zhang, Mei Wen, Nan Wu

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

January 17, 2014 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

Finite-difference time-domain solver for room acoustics using graphics processing units

GPU Computing for Meshfree Particle Method

High-performance and Embedded Systems for Cryptography

Supporting x86-64 Address Translation for 100s of GPU Lanes

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator

Power Profiling of GeMTC Many Task Computing

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Prefiltered Single Scattering

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

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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