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GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Tutorial

April 19, 2013 by hgpu

GPU Computing in Discrete Optimization – Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasle

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

April 19, 2013 by hgpu

SemCache: Semantics-aware Caching for Efficient GPU Offloading

Nabeel AlSaber, Milind Kulkarni

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C2070

April 19, 2013 by hgpu

Comparison based sorting for systems with multiple GPUs

Ivan Tanasic, Lluis Vilanova, Marc Jorda, Javier Cabezas, Isaac Gelado, Nacho Navarro, Wen-mei Hwu

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Sorting, Tesla C2070

April 18, 2013 by hgpu

MrBayes tgMC3: A Tight GPU Implementation of MrBayes

Cheng Ling, Tsuyoshi Hamada, Jianing Bai, Xianbin Li, Douglas Chesters, Weimin Zheng, Weifeng Shi

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Source codes

Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

April 18, 2013 by hgpu

Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Hua He, Jimmy Lin, Adam Lopez

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

April 18, 2013 by hgpu

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Shi Pu, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security, Smith-Waterman algorithm

April 18, 2013 by hgpu

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

Sangpil Lee, Won Woo Ro

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285

April 17, 2013 by hgpu

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Jakub Kurzak, P. Luszczek, Mathieu Faverge, Jack J. Dongarra

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Tags: Computer science, CUDA, Factorization, nVidia, Task scheduling, Tesla S2050

April 17, 2013 by hgpu

Communication-Minimizing 2D Convolution in GPU Registers

Forrest N. Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Prefetch, Tesla C2050

April 17, 2013 by hgpu

Zero-copy I/O processing for low-latency GPU computing

Shinpei Kato, Jason Aumiller, Scott Brandt

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, nVidia, Plasma physics

April 16, 2013 by hgpu

High-dimensional wave atoms and compression of seismic datasets

Matti Leinonen,Russell J. Hewett, Xiangxiong Zhang, Lexing Ying, Laurent Demanet

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Tags: Compression, CUDA, nVidia, Seismology, Tesla C2075

April 16, 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization – Part I: Introduction to the GPU

SemCache: Semantics-aware Caching for Efficient GPU Offloading

Comparison based sorting for systems with multiple GPUs

MrBayes tgMC3: A Tight GPU Implementation of MrBayes

Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Communication-Minimizing 2D Convolution in GPU Registers

Zero-copy I/O processing for low-latency GPU computing

High-dimensional wave atoms and compression of seismic datasets

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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