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Accelerated composite distribution function methods for computational fluid dynamics using GPU

Matthew R. Smith, Yen-Chih Chen

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, nVidia GeForce GTX 670, Tesla C2075

August 19, 2014 by hgpu

An OpenCL implementation of a forward sampling algorithm for CP-logic

Wiebe Van Ranst, Joost Vennekens

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 295, OpenCL

August 18, 2014 by hgpu

Quantum Boolean Image Denoising

Mario Mastriani

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Tags: Algorithms, Filtering, Image processing, nVidia, OpenCL, Signal denoising, Tesla C2050

August 18, 2014 by hgpu

High Level High Performance Computing for Multitask Learning of Time-varying Models

Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens

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Tags: Algorithms, Computer science, CUDA, nVidia, Python

August 18, 2014 by hgpu

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures

Thomas R. W. Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Xeon Phi, nVidia, nVidia GeForce GTX 280, OpenCL, Performance, Tesla K20

August 15, 2014 by hgpu

GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation

Yuan Zhao, Xinchang Zhang, Zhen Zhang, Lu Wang, Yueming Hu

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Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, OpenGL, Rendering, Visualization

August 15, 2014 by hgpu

Numerical Computations with GPUs

Volodymyr Kindratenko

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Tags: Algorithms, ATI, Book, Computer science, CUDA, Differential equations, FFT, Linear Algebra, Mathematics, Numerical simulation, nVidia, OpenCL, Pseudo-random number generators, Software Engineering

August 13, 2014 by hgpu

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Joshua Michael Pyle

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Tags: Bloom filter, Computer science, CUDA, Data Structures and Algorithms, Databases, nVidia, nVidia GeForce GT 620, Security, Thesis

August 13, 2014 by hgpu

Non-Local Total Generalized Variation for Optical Flow Estimation

Rene Ranftl, Kristian Bredies, Thomas Pock

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 780 Ti, Optical flow

August 13, 2014 by hgpu

GPU-SPARC: Accelerating Parallelism in Multi-GPU Real-Time Systems

Wookhyun Han, Hwidong Bae, Hyosu Kim, Jiyoen Lee, Insik Shin

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Source codes

Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Package, Performance

August 13, 2014 by hgpu

Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization

K. Avinash, Monu Pandey, Ajinkya Deshpande, M. Rajasekhara Babu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

August 13, 2014 by hgpu

Accelerating Fruchterman-Reingold with OpenCL

Gerrit Krijnen

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GT 740 M, OpenCL, Rendering, Thesis, Visualization

August 11, 2014 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Accelerated composite distribution function methods for computational fluid dynamics using GPU

An OpenCL implementation of a forward sampling algorithm for CP-logic

Quantum Boolean Image Denoising

High Level High Performance Computing for Multitask Learning of Time-varying Models

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures

GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation

Numerical Computations with GPUs

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Non-Local Total Generalized Variation for Optical Flow Estimation

GPU-SPARC: Accelerating Parallelism in Multi-GPU Real-Time Systems

Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization

Accelerating Fruchterman-Reingold with OpenCL

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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