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A Parallel Access Method for Spatial Data Using GPU

Byoung-Woo Oh

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 580

March 26, 2012 by hgpu

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Weibin Sun, Robert Ricci, Matthew L. Curry

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Tags: Computer science, CUDA, Data recovery, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system

March 26, 2012 by hgpu

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Shivani Raghav, Christian Pinto, Martino Ruggiero, Andrea Marongiu, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Operating systems, Software Engineering, Tesla C2070

March 26, 2012 by hgpu

Volume-preserving FFD for programmable graphics hardware

Stefanie Hahmann, Georges-Pierre Bonneau, Sebastien Barbier, Gershon Elber, Hans Hagen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, GLSL, Nonlinear optimization, nVidia, nVidia GeForce 8800 GTS, OpenGL

March 23, 2012 by hgpu

Accelerating large-scale simulations of cortical neuronal network development

Fumitaka Kawasaki, Michael Stiber

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Tags: CNN, Computer science, CUDA, Neural networks, Neuroscience, nVidia, Tesla C1060

March 23, 2012 by hgpu

CUDA implementation of Wagener’s 2D convex hull PRAM algorithm

Colm O. Dunlaing

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Tags: Computer science, CUDA, nVidia

March 23, 2012 by hgpu

Advanced Programming Platform for efficient use of Data Parallel Hardware

Luis Cabellos

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Tags: Computer science, Distributed computing, nVidia, OpenCL, Tesla C1060

March 23, 2012 by hgpu

Impact of asynchronism on GPU accelerated parallel iterative computations

Sylvain Contassot-Vivier, Thomas Jost, Stephane Vialle

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Partial differential equations, PDEs, Performance

March 22, 2012 by hgpu

GPU-based parallel collision detection for fast motion planning

Jia Pan, Dinesh Manocha

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Tags: Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

March 22, 2012 by hgpu

Multi-target vectorization with MTPS C++ generic library

Wilfried Kirschenmann, Laurent Plagne, Stephane Vialle

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia Quadro FX 5800

March 22, 2012 by hgpu

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Cagdas Bilen, Yao Wang, Ivan Selesnick

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Tags: Algorithms, Compression, Computer science, Data Structures and Algorithms, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 4800, Sensing

March 22, 2012 by hgpu

Accelerating Sparse Matrix Vector Multiplication on Many-Core GPUs

Weizhi Xu, Zhiyong Liu, Dongrui Fan, Shuai Jiao, Xiaochun Ye, Fenglong Song, Chenggang Yan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Performance, Sparse matrix

March 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

A Parallel Access Method for Spatial Data Using GPU

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Volume-preserving FFD for programmable graphics hardware

Accelerating large-scale simulations of cortical neuronal network development

CUDA implementation of Wagener’s 2D convex hull PRAM algorithm

Advanced Programming Platform for efficient use of Data Parallel Hardware

Impact of asynchronism on GPU accelerated parallel iterative computations

GPU-based parallel collision detection for fast motion planning

Multi-target vectorization with MTPS C++ generic library

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Accelerating Sparse Matrix Vector Multiplication on Many-Core GPUs

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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