high performance computing on graphics processing units: hgpu.org

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Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

Martin Peniak, Davide Marocco, Jun Taniy, Yuichi Yamashitay, Kerstin Fischerz, Angelo Cangelosi

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Tags: Computer science, CUDA, Neural networks, nVidia, Package

August 27, 2013 by hgpu

Aquila 2.0: Software Architecture for Cognitive Robotics

Martin Peniak, Anthony Morse, Angelo Cangelosi

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package

August 26, 2013 by hgpu

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

Adam Betts, Alastair Donaldson

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, OpenCL, Package, Python, Tesla C2050

August 26, 2013 by hgpu

OpenCL programming using Python syntax

Massimo Di Pierro

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Tags: Computer science, OpenCL, Package, PyOpenCL, Python

August 26, 2013 by hgpu

PARIS: A Parallel RSA-Prime Inspection Tool

Joseph White

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, RSA, Security, Tesla K20, Thesis

August 19, 2013 by hgpu

Fast and Flexible: Parallel Packet Processing with GPUs and Click

Weibin Sun, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Software router, String matching

August 18, 2013 by hgpu

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

Benedikt Waldvogel

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Package, Tesla K20, Thesis

August 16, 2013 by hgpu

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Yuan Yuan, Rubao Lee, Xiaodong Zhang

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Tags: Analytical model, ATI, ATI Radeon HD 7970, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package

August 14, 2013 by hgpu

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

Nathan Chong, Alastair F. Donaldson, Paul H.J. Kelly, Jeroen Ketema, Shaz Qadeer

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Tags: Algorithms, Computer science, CUDA, OpenCL, Package, Performance

August 13, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

Benjamin Adler, Junhao Xiao, Jianwei Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, nVidia Quadro 2000, OpenGL, Package, Particle simulation

August 10, 2013 by hgpu

GPGPU Implementation of a Generative Modelling Language

Martin Griffin, Aidan Delaney, Karina Rodriguez Echavarria

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Tags: Computer science, High-level Languages, OpenCL, Package

August 5, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

Aquila 2.0: Software Architecture for Cognitive Robotics

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

OpenCL programming using Python syntax

PARIS: A Parallel RSA-Prime Inspection Tool

Fast and Flexible: Parallel Packet Processing with GPUs and Click

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

GPGPU Implementation of a Generative Modelling Language

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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