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Analysis of Parallel Montgomery Multiplication in CUDA

Yuheng Liu

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GT 650 M, Security, Thesis

May 28, 2013 by hgpu

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Ping Guo, Liqiang Wang, Po Chen

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

May 27, 2013 by hgpu

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

Ian C. Atkinson, Geng Liu, Nady Obeid, Keith R. Thulborn, Wen-mei Hwu

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Tags: Algorithms, Biology, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, Tesla C2050

May 27, 2013 by hgpu

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Zs. Regaly, Zs. Sandor, P. Csomos, S. Ataiee

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Source codes

Tags: Astrophysics, CUDA, Numerical simulation, nVidia, Package, Solar and Stellar Astrophysics, Tesla C2050

May 27, 2013 by hgpu

Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack

Konstantinos Menychtas, Kai Shen, Michael L. Scott

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 670, nVidia Quadro NVS 295, Performance

May 25, 2013 by hgpu

Use of Multi-GPU Systems for Larger Than Device FFTs: With Applications in Ultrasound Simulations

Nimalan Nandapalan

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Tags: CUDA, FFT, nVidia, nVidia GeForce GTX 580, Signal processing, Thesis, Ultrasound

May 25, 2013 by hgpu

GPU-accelerated protein family identification for metagenomics

Changjun Wu, Ananth Kalyanaraman

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Tags: Biology, Clustering, CUDA, Graph theory, nVidia, Tesla K20

May 25, 2013 by hgpu

Stencil and Lattice Structures for Field Equation Model Simulations on GPUs

D.P. Playne, K.A. Hawick

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Tags: Code generation, Computer science, CUDA, Field equations, nVidia, nVidia GeForce GTX 580

May 25, 2013 by hgpu

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

May 25, 2013 by hgpu

On-Demand Generating and Scheduling Optimised Parallel Applications on Heterogeneous Platforms

K. A. Hawick, D. P. Playne

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Software Engineering

May 25, 2013 by hgpu

GEMTC: GPU Enabled Many-Task Computing

Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Performance

May 25, 2013 by hgpu

JPEG-GPU:: a GPGPU Implementation of JPEG Core Coding Systems

Ang Li

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Tags: Compression, CUDA, Image processing, nVidia, Tesla K20

May 25, 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

Analysis of Parallel Montgomery Multiplication in CUDA

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack

Use of Multi-GPU Systems for Larger Than Device FFTs: With Applications in Ultrasound Simulations

GPU-accelerated protein family identification for metagenomics

Stencil and Lattice Structures for Field Equation Model Simulations on GPUs

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

On-Demand Generating and Scheduling Optimised Parallel Applications on Heterogeneous Platforms

GEMTC: GPU Enabled Many-Task Computing

JPEG-GPU:: a GPGPU Implementation of JPEG Core Coding Systems

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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