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Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Marek Palkowski, Wlodzimierz Bielecki

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Tags: Computer science, CUDA, nVidia, Performance, Tesla S1070

October 13, 2012 by hgpu

Extendable Pattern-Oriented Optimization Directives (extended version)

Huimin Cui, Jingling Xue, Lei Wang, Yang Yang, Xiaobing Feng, Dongrui Fan

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Tags: Compilers, Computer science, nVidia, nVidia GeForce GTX 285, Optimization, Performance

October 13, 2012 by hgpu

Mesh Independent Loop Fusion for Unstructured Mesh Applications

Carlo Bertolli, Adam Betts, Gihan R. Mudalige, Paul H.J. Kelly, Michael B. Giles

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Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla M2050

October 13, 2012 by hgpu

GPU-Based Local-Dimming for Power Efficient Imaging

Chihao Xu, Michael Krause, Jens Kruger

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 555 M

October 13, 2012 by hgpu

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Peng Di, Ding Ye, Yu Su, Yulei Sui, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050

October 13, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 2012 by hgpu

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Learning hash codes for efficient content reuse detection

Qi Zhang, Yan Wu, Zhuoye Ding, Xuanjing Huang

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Tags: Algorithms, Computer science, CUDA, Hashing, Information Retrieval, nVidia, nVidia Quadro FX 4000, Security

October 8, 2012 by hgpu

GPU Accelerated NIDS Search

Kristian Nordhaug

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Security, Thesis

October 8, 2012 by hgpu

GPGPU accelerated optimization method of Interconnection Network Topology

Vladimir Siladi, Ladislav Huraj, Michal Povinsky

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9800 GT, Optimization

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Extendable Pattern-Oriented Optimization Directives (extended version)

Mesh Independent Loop Fusion for Unstructured Mesh Applications

GPU-Based Local-Dimming for Power Efficient Imaging

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Learning hash codes for efficient content reuse detection

GPU Accelerated NIDS Search

GPGPU accelerated optimization method of Interconnection Network Topology

Architectural explorations for streaming accelerators with customized memory layouts

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

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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