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Strategies for Optimization of Parallel Programs

Alcides Fonseca

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

August 3, 2013 by hgpu

Real-Time Electroholography Using a Multi-GPU Environmental PC

Naoki Takada, Hiroaki Niwase, Hiromitsu Araki, Hirotaka Nakayama, Atsushi Sugiyama, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito

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Tags: Computer holography, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenGL

August 2, 2013 by hgpu

DRiVE: An Example of Distributed Rendering in Virtual Environments

Anton Sigitov, Thorsten Roth, Florian Mannuss, Andre Hinkenjann

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Tags: Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Virtual reality, Visualization

August 2, 2013 by hgpu

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Takao Tsuchiya, Osamu Yamashita

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, nVidia, OpenMPI, Rendering, Tesla M2075, Wave equation

August 2, 2013 by hgpu

NOVA: A Functional Language for Data Parallelism

Alexander Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea

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Tags: Compilers, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

August 1, 2013 by hgpu

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

Jianqiang Dong, Fei Wang, Bo Yuan

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Tags: Clustering, Computer science, CUDA, nVidia, Tesla K20

August 1, 2013 by hgpu

A note on the GPU acceleration of eigenvalue computations

K. Rupp, Ph. Tillet, B. F. Smith, T. Grasser, A. Jungel

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL

August 1, 2013 by hgpu

The Promises of Hybrid Hexagonal/Classical Tiling for GPU

Tobias Grosser, Sven Verdoolaege, Albert Cohen, P. Sadayappan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia Quadro NVS 5200 M, PTX

July 31, 2013 by hgpu

Opportunities for Heterogeneous CPUGPU Task Scheduling

Christiaan Arnoldus, Robert Witte

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Tags: ATI, ATI Radeon HD 4850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce 9200 M GS, OpenCL, Task scheduling

July 31, 2013 by hgpu

GPU-based Streaming Algorithm for High-Resolution Cloth Simulation

Min Tang, Dinesh Manocha, Rahul Narain, Ruofeng Tong, Chang Meng

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Tags: 3D Graphics and Realism, Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Tesla K20

July 31, 2013 by hgpu

Fast Computation of Computer-generated Hologram Using Xeon Phi Coprocessors

Koki Murano, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

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Tags: Computer holography, Computer science, Intel Phi, OpenMP

July 31, 2013 by hgpu

Domain Specific Languages for High Performance Computing

Alejandro Fernandez Suarez

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Tags: Computer science, Heterogeneous systems, High-level Languages, OpenCL, Thesis

July 30, 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

Strategies for Optimization of Parallel Programs

Real-Time Electroholography Using a Multi-GPU Environmental PC

DRiVE: An Example of Distributed Rendering in Virtual Environments

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

NOVA: A Functional Language for Data Parallelism

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

A note on the GPU acceleration of eigenvalue computations

The Promises of Hybrid Hexagonal/Classical Tiling for GPU

Opportunities for Heterogeneous CPUGPU Task Scheduling

GPU-based Streaming Algorithm for High-Resolution Cloth Simulation

Fast Computation of Computer-generated Hologram Using Xeon Phi Coprocessors

Domain Specific Languages for High Performance Computing

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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