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The nonequispaced FFT on graphics processing units

Susanne Kunis, Stefan Kunis

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 460, Package

August 26, 2012 by hgpu

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Ryan M. Layer, Kevin Skadron, Gabriel Robins, Ira M. Hall, Aaron R. Quinlan

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Search, Sequence alignment

August 17, 2012 by hgpu

Rootbeer: Seamlessly using GPUs from Java

Philip C. Pratt-Szeliga, James W. Fawcett, Roy D. Welch

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Tags: Code generation, Computer science, CUDA, Java, nVidia, OpenCL, Package, Tesla C2050

August 17, 2012 by hgpu

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Package

August 16, 2012 by hgpu

vCUDA Framework Development for GPU Virtualization

Aashish Chauhan, Aditya T S, Bakul Mittal, Padmaraj R, Sridutt Nayak

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Virtualization

August 15, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, nVidia, Optimization, Package, Tesla C2070

August 10, 2012 by hgpu

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Anton J. Wijs, Dragan Bosnacki

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probabilistic model checking, Sparse matrix

August 6, 2012 by hgpu

accULL: An User-directed Approach to Heterogeneous Programming

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Python, Tesla C1060, Tesla C2050

July 31, 2012 by hgpu

Ensemble K-Means on Modern Many Core Hardware

Girish Ravunnikutty

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Tags: Bioinformatics, Clustering, Computer science, Data mining, Machine learning, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Pattern recognition, Thesis

July 28, 2012 by hgpu

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee

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Tags: Code generation, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package, Programming Languages, Programming techniques

July 26, 2012 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Packages

The nonequispaced FFT on graphics processing units

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Rootbeer: Seamlessly using GPUs from Java

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

vCUDA Framework Development for GPU Virtualization

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Designing OP2 for GPU architectures

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

accULL: An User-directed Approach to Heterogeneous Programming

Ensemble K-Means on Modern Many Core Hardware

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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

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