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MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

Real-Time Visibility-Based Fusion of Depth Maps

P. Merrell, A. Akbarzadeh, Liang Wang, P. Mordohai, J. M. Frahm, Ruigang Yang, D. Nister, M. Pollefeys

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Tags: Cg, Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Video tracking

December 6, 2010 by hgpu

An adaptive framework for visualizing unstructured grids with time-varying scalar fields

F. Bernardon, S. Callahan, J. Comba, C. Silva

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Tags: Computer science, nVidia, nVidia GeForce 7800 GTX, Package, Rendering, Visualization

December 5, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Floating-Point Paranoia

Karl E. Hillesland, Anselmo Lastra

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Tags: Algorithms, Cg, Computer science, Extended precision, nVidia, Package

December 3, 2010 by hgpu

Fast computation of generalized Voronoi diagrams using graphics hardware

Kenneth Hoff, John Keyser, Ming Lin, Dinesh Manocha, Tim Culver

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Tags: Computer science, Image generation, OpenGL, Package, Rasterization, Voronoi diagram

December 1, 2010 by hgpu

Shader algebra

Michael Mccool, Stefanus Du Toit, Tiberiu Popa, Bryan Chan, Kevin Moule

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Tags: 3D Graphics and Realism, Computer science, nVidia, OpenGL, Package, Rendering, Shaders

November 29, 2010 by hgpu

A flexible simulation framework for graphics architectures

J. W. Sheaffer, D. Luebke, K. Skadron

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 4, OpenGL, Package

November 29, 2010 by hgpu

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

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Tags: Biology, Computer science, CUDA, Error recovery, nVidia, Package

November 22, 2010 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Applications

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

Real-Time Visibility-Based Fusion of Depth Maps

An adaptive framework for visualizing unstructured grids with time-varying scalar fields

GPUQP: query co-processing using graphics processors

GPU Floating-Point Paranoia

Fast computation of generalized Voronoi diagrams using graphics hardware

Shader algebra

A flexible simulation framework for graphics architectures

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Fast Disk Encryption through GPGPU Acceleration

Synergistic execution of stream programs on multicores with accelerators

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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