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Acceleration of calculation of Third Party Risk around an airport using OpenCL

Ronald Erkamp

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Tags: Computer science, nVidia, OpenCL, Tesla C2075, Tesla K20, Thesis

June 13, 2013 by hgpu

An Analysis of Conventional and Heterogeneous Workloads on Production Supercomputing Resources

Jonathan Allen Berkhahn

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Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2050, Tesla S2050

June 13, 2013 by hgpu

The Hierarchical Memory Machine Model for GPUs

Koji Nakano

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 580

June 12, 2013 by hgpu

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

Gloria Ortega, Francisco Vazquez, Inmaculada Garcia, Ester M. Garzon

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Source codes

Tags: Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Package, Sparse matrix, Tesla C2050

June 12, 2013 by hgpu

OpenCL Implementation of a Color Based Object Tracking

Marko Jocic, Dorde Obradovic, Zora Konjovic, Daniel Tertei

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 420, OpenCL

June 12, 2013 by hgpu

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Jorge F. Fabeiro, Diego Andrade, Basilio B. Fraguela

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Tags: Computer science, Genetic programming, OpenCL, Optimization

June 10, 2013 by hgpu

Accelerating Genetic Programming Using Graphics Processing Units

Tony Lewis

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 260, Thesis

June 10, 2013 by hgpu

Processing XPath Structural Constraints on GPU

Dilson A. Guimaraes, Filipe de L. Arcanjo, Laura R. Antuna, Mirella M. Moro, Renato C. Ferreira

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, OpenCL

June 10, 2013 by hgpu

Recent Advances on GPU Computing in Operations Research

incent Boyer, Didier El Baz

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Tags: Computer science, Review

June 10, 2013 by hgpu

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Visualization

June 8, 2013 by hgpu

High Resolution Sparse Voxel DAGs

Viktor Kampe, Erik Sintorn, Ulf Assarsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing

June 8, 2013 by hgpu

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Rainer Erbes

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5000, Thesis

June 8, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Acceleration of calculation of Third Party Risk around an airport using OpenCL

The Hierarchical Memory Machine Model for GPUs

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

OpenCL Implementation of a Color Based Object Tracking

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Accelerating Genetic Programming Using Graphics Processing Units

Processing XPath Structural Constraints on GPU

Recent Advances on GPU Computing in Operations Research

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

High Resolution Sparse Voxel DAGs

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

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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