high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Dynamic Scheduling for Work Agglomeration on Heterogeneous Clusters

Jonathan Lifflander, G. Carl Evans, Anshu Arya, Laxmikant V. Kale

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, N-body simulation, nVidia, Particle simulation, Tesla S1070

March 9, 2012 by hgpu

Relational Algorithms for Multi-Bulk-Synchronous Processors

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Optimization, Tesla C2050

March 9, 2012 by hgpu

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

Ronald M. Caplan

View

Download (PDF)

Source codes

Tags: Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 580, Package

March 9, 2012 by hgpu

Scalable framework for mapping streaming applications onto multi-GPU systems

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, GPU cluster, nVidia, Tesla C2070

March 8, 2012 by hgpu

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

Richard Membarth, Jan-Hugo Lupp, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

View

Download (PDF)

Tags: CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C2050

March 8, 2012 by hgpu

Compiler Assisted Runtime Adaptation

Vlad-Mihai Sima

View

Download (PDF)

Tags: Compilers, Computer science, DSP, FPGA, Heterogeneous systems, OpenCL, Optimization, Thesis

March 8, 2012 by hgpu

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Optimization, Programming techniques

March 8, 2012 by hgpu

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

Li-ta Lo, Christopher Sewell, James Ahrens

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, OpenCL, Package, Visualization

March 8, 2012 by hgpu

Efficient Relational Algebra Algorithms and Data Structures for GPU

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Tesla C2050

March 6, 2012 by hgpu

PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

Xin-Hai Xu, Xue-Jun Yang, Jing-Ling Xue, Yu-Fei Lin, Yi-Song Lin

View

Download (PDF)

Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce GTX 295

March 6, 2012 by hgpu

KUDA: GPU Accelerated Split Race Checker

Can Bekar, Tayfun Elmas, Semih Okur, Serdar Tasiran

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Performance, Programming techniques

March 6, 2012 by hgpu

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Gabriel Hjort Blindell

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia Quadro FX 600, nVidia Quadro NVS 290, Software Engineering, Thesis

March 6, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Dynamic Scheduling for Work Agglomeration on Heterogeneous Clusters

Relational Algorithms for Multi-Bulk-Synchronous Processors

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

Scalable framework for mapping streaming applications onto multi-GPU systems

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

Compiler Assisted Runtime Adaptation

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

Efficient Relational Algebra Algorithms and Data Structures for GPU

PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

KUDA: GPU Accelerated Split Race Checker

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

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

Most viewed papers (last 30 days)