high performance computing on graphics processing units: hgpu.org

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Comparing Many-Core Accelerator Frameworks

G. Haase, A. Kucher

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Optimization

February 15, 2012 by hgpu

Advancing Large Scale Many-Body QMC Simulations on GPU Accelerated Multicore Systems

Andres Tomas, Chia-Chen Chang, Richard Scalettar, Zhaojun Bai

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Tags: Computer science, CUDA, Linear Algebra, Monte Carlo simulation, nVidia, QMC, Tesla C2050

February 15, 2012 by hgpu

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Li Yao, Dong-xiao Li, Jing Zhang, Liang-hao Wang, Ming Zhang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4800, Optimization, Stereo vision

February 15, 2012 by hgpu

Reflective Shadow Map Clustering for Real-Time Global Illumination

Roman Prutkin, Anton Kaplanyan, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, Clustering, Computer science, DirectX, Image generation, nVidia, nVidia GeForce GTX 560 Ti

February 15, 2012 by hgpu

Graph Coarsening and Clustering on the GPU

B. O. Fagginger Auer, R. H. Bisseling

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Tags: Algorithms, Clustering, Computer science, CUDA, Graph theory, nVidia, Package, Tesla C2050

February 15, 2012 by hgpu

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package

February 14, 2012 by hgpu

Spatial interpolation of scattered geoscientific data

Florian Hanzer

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Tags: Algorithms, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX 580, OpenCL, Visualization

February 14, 2012 by hgpu

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Chris Lupo, Zoe J. Wood, Christine Victorino

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce GTX 470, Performance, Programming techniques, Raytracing, Rendering

February 14, 2012 by hgpu

Acceleration of information-theoretic data analysis with graphics processing units

Davor Sluga, Tomaz Curk, Blaz Zupan, Uros Lotric

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Tesla C2050

February 14, 2012 by hgpu

Accelerated People Tracking Using Texture in a Camera Network

Wasit Limprasert, Andrew Wallace, Greg Michaelson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 250

February 14, 2012 by hgpu

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

Bharath Suri, Unmesh D. Bordoloi, Petru Eles

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Tags: Computer science, CUDA, nVidia, Optimization, Tesla M2050

February 13, 2012 by hgpu

Using Graphical Processing Units in Scheduling Problems

K. Mihaly, O. Hornyak

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Tags: Algorithms, Computer science, CUDA, nVidia, Task scheduling, Tesla C1060

February 13, 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

Applications

Comparing Many-Core Accelerator Frameworks

Advancing Large Scale Many-Body QMC Simulations on GPU Accelerated Multicore Systems

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Reflective Shadow Map Clustering for Real-Time Global Illumination

Graph Coarsening and Clustering on the GPU

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Spatial interpolation of scattered geoscientific data

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Acceleration of information-theoretic data analysis with graphics processing units

Accelerated People Tracking Using Texture in a Camera Network

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

Using Graphical Processing Units in Scheduling Problems

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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