high performance computing on graphics processing units: hgpu.org

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Parallel Symbolic Analysis of Large Analog Circuits on GPU Platforms

Sheldon X.-D. Tan, Xue-Xin Liu, Eric Mlinar and Esteban Tlelo-Cuautle

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Tags: Computer science, CUDA, Electronic design automation, nVidia, Tesla S1070

January 26, 2012 by hgpu

Scalable Parallel Minimum Spanning Forest Computation

Sadegh Nobari, Thanh-Tung Cao, Panagiotis Karras, Stephane Bressan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Tesla S1070

January 25, 2012 by hgpu

Parallel LDPC Decoder Implementation on GPU Based on Unbalanced Memory Coalescing

Soonyoung Kang, Jaekyun Moon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Parity-check codes

January 25, 2012 by hgpu

Multifrontal Sparse Matrix Factorization on Graphics Processing Units

Robert F. Lucas, Gene Wagenbreth, John J. Tran, Dan M. Davis

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Tags: Computer science, CUDA, Factorization, nVidia, nVidia GeForce 8800, Sparse matrix

January 25, 2012 by hgpu

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Jaekyu Lee, Hyesoon Kim

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Tags: Computer science, Heterogeneous systems, Memory, Performance

January 25, 2012 by hgpu

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

Steven Solomon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Thesis

January 25, 2012 by hgpu

Realtime scheduling using GPUs – proof of feasibility

Peter Fodrek, Ludovit Farkas, Tomas Murgas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GT 310 M, OpenCL, Task scheduling

January 25, 2012 by hgpu

GPU algorithms for comparison-based sorting and for merging based on multiway selection

Nikolaj Leischner

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, OpenCL, Sorting, Thesis

January 25, 2012 by hgpu

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

Xiaohui Cui, Jesse St. Charles, Justin Beaver, Thomas E. Potok

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

January 24, 2012 by hgpu

GPApriori: GPU-Accelerated Frequent Itemset Mining

Fan Zhang, Yan Zhang, Jason Bakos

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, Tesla S1070

January 24, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

Real-Time Photon Mapping on GPU

Sanket Gupte

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, Raytracing, Real-time graphics

January 24, 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

Parallel Symbolic Analysis of Large Analog Circuits on GPU Platforms

Scalable Parallel Minimum Spanning Forest Computation

Parallel LDPC Decoder Implementation on GPU Based on Unbalanced Memory Coalescing

Multifrontal Sparse Matrix Factorization on Graphics Processing Units

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

Realtime scheduling using GPUs – proof of feasibility

GPU algorithms for comparison-based sorting and for merging based on multiway selection

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

GPApriori: GPU-Accelerated Frequent Itemset Mining

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Real-Time Photon Mapping on GPU

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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