high performance computing on graphics processing units: hgpu.org

Daniel L. Ayres, Aaron Darling, Derrick J. Zwickl, Peter Beerli, Mark T. Holder, Paul O. Lewis, John P. Huelsenbeck, Fredrik Ronquist, David L. Swofford, Michael P. Cummings, Andrew Rambaut, Marc A. Suchard

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Tags: Bayesian, Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 580

October 25, 2011 by hgpu

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Joel B. Fontanarosa, Yang Dai

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Tags: Algorithms, Biology, CUDA, Evolutionary Computations, Genetics, nVidia, nVidia GeForce GTX 470, Optimization

October 25, 2011 by hgpu

Development of a Flow Solver with Complex Kinetics on the Graphic Processing Units

Hai P. Le, Jean-Luc Cambier

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Tags: Chemistry, Computational Physics, CUDA, Finite volume method, Fluid dynamics, nVidia, Tesla C2050, Tesla C2070

October 25, 2011 by hgpu

Parallel Implementation of Devanagari Text Line and Word Segmentation Approach on GPU

Brijmohan Singh, Nitin Gupta, Rashi Tyagi, Ankush Mitta, Debashish Ghosh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Pattern recognition

October 24, 2011 by hgpu

Breaking DVB-CSA

Erik Tews, Julian Walde, Michael Weiner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, Security

October 24, 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

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high performance computing on graphics processing units: hgpu.org

Accelerated MD Program Using CUDA Technology

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

Flexible neuronal network simulation framework using code generation for NVidia CUDA

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Design and Implementation of GPU-Based Prim’s Algorithm

Parallel Execution of AES-CTR Algorithm Using Extended Block Size

The Model of Computation of CUDA and its Formal Semantics

BEAGLE: an Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Development of a Flow Solver with Complex Kinetics on the Graphic Processing Units

Parallel Implementation of Devanagari Text Line and Word Segmentation Approach on GPU

Breaking DVB-CSA

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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