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Designing a Unified Programming Model for Heterogeneous Machines

Michael Garland, Manjunath Kudlur, Yili Zheng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2050, Tesla X2090

August 26, 2012 by hgpu

The nonequispaced FFT on graphics processing units

Susanne Kunis, Stefan Kunis

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 460, Package

August 26, 2012 by hgpu

Password Recovery Using MPI and CUDA

David Apostal, Kyle Foerster, Amrita Chatterjee, Travis Desell

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, Security, Tesla C1060

August 26, 2012 by hgpu

Extending MPI to Accelerators

Jeff A. Stuart, Pavan Balaji, John D. Owens

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL

August 26, 2012 by hgpu

A Braille Conversion Service Using GPU and Human Interaction by Computer Vision

Roman Graf, Reinhold Huber-Mork

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Pattern recognition, Performance

August 26, 2012 by hgpu

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

August 22, 2012 by hgpu

Parallel Trajectory Planning on GPU

David Hlavaty

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Thesis

August 22, 2012 by hgpu

Improving OpenACC compatibility within accULL

Ivan Lopez-Rodriguez

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenACC, OpenCL, Tesla C2050

August 22, 2012 by hgpu

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Vladislav Kovtun, Andrew Okhrimenko

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Tags: Algorithms, AMD FireStream 9370, ATI, Computational Complexity, Computer science, nVidia, OpenCL, OpenMP, Security, Tesla M2090

August 22, 2012 by hgpu

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Can Basaran, Kyoung-Don Kang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Performance, Task scheduling

August 21, 2012 by hgpu

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Yi Yang, Ping Xiang, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Performance

August 21, 2012 by hgpu

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

Yi Yang, Ping Xiang, Mike Mantor, Norm Rubin, Huiyang Zhou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

August 21, 2012 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

Designing a Unified Programming Model for Heterogeneous Machines

The nonequispaced FFT on graphics processing units

Password Recovery Using MPI and CUDA

Extending MPI to Accelerators

A Braille Conversion Service Using GPU and Human Interaction by Computer Vision

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

Parallel Trajectory Planning on GPU

Improving OpenACC compatibility within accULL

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

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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