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Optimizing GPU to GPU Communication on Cray XK7

Jeff M. Larkin

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Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Tesla K20

December 19, 2013 by hgpu

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Donald K. Berry, Joseph Schuchart, Robert Henschel

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Tags: CUDA, Fortran, Molecular dynamics, MPI, nVidia, OpenACC, Physics, Tesla K20

December 19, 2013 by hgpu

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

Ying Song, Wencheng Wang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

December 19, 2013 by hgpu

A Two-stage Query by Singing/Humming System on GPU

Wei-Tsa Kao, Chung-Che Wang, Kaichun K. Chang, Jyh-Shing Roger Jang, Wenshan Liou

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 660 Ti

December 19, 2013 by hgpu

Heterogeneous Programming with Single Operation Multiple Data

Herve Paulino, Eduardo Marques

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 320 M, Tesla C2050

December 19, 2013 by hgpu

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Brent Leback, Douglas Miles, Michael Wolfe

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Tags: ATI, Compilers, Computer science, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla

December 18, 2013 by hgpu

Fast Image Alignment with Fourier Moment Matching on GPU

Hong-Ren Su, Hao-Yuan Kuo, Shang-Hong Lai, Chin-Chia Wu

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Tags: CUDA, Image alignment, Image processing, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 650

December 18, 2013 by hgpu

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

Hristo Djidjev, Sunil Thulasidasan, Guillaume Chapuis, Rumen Andonov, Dominique Lavenier

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Tags: Algorithms, Bioinformatics, Biology, CUDA, GPU cluster, nVidia, Tesla C2090

December 18, 2013 by hgpu

A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems

Robert Georg Ilgner

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

December 18, 2013 by hgpu

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Dario Tamascelli, Francesco S. Dambrosio, Riccardo Conte, Michele Ceotto

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075, Tesla K20

December 18, 2013 by hgpu

Data Structures for Task-based Priority Scheduling

Martin Wimmer, Daniel Cederman, Francesco Versaci, Jesper Larsson Traff, Philippas Tsigas

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Tags: Algorithms, Computer science, Intel Xeon Phi, Package, Task scheduling

December 17, 2013 by hgpu

Development methodologies for GPU and cluster of GPUs

Sylvain Contassot-Vivier, Stephane Vialle, Jens Gustedt

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

December 17, 2013 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

Optimizing GPU to GPU Communication on Cray XK7

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

A Two-stage Query by Singing/Humming System on GPU

Heterogeneous Programming with Single Operation Multiple Data

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Fast Image Alignment with Fourier Moment Matching on GPU

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Data Structures for Task-based Priority Scheduling

Development methodologies for GPU and cluster of 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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