high performance computing on graphics processing units: hgpu.org

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Graphical future

Chris Edwards

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Tags: Computer science, nVidia, Review

September 5, 2011 by hgpu

High-Performance Computing with Accelerators

Volodymyr Kindratenko, Robert Wilhelmson, Robert Brunner, Todd J. Martinez, Wen-mei Hwu

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Tags: Computer science, nVidia, Presentation, Review

September 3, 2011 by hgpu

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Kalyan S. Perumalla

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Review

August 27, 2011 by hgpu

Considerations when evaluating microprocessor platforms

Michael Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram

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Tags: Computer science, Performance, Review

August 26, 2011 by hgpu

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Hans Hacker, Carsten Trinitis, Josef Weidendorfer, Matthias Brehm

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Tags: Computer science, CUDA, nVidia, Performance, Review, Tesla C1060

August 25, 2011 by hgpu

A taxonomy of accelerator architectures and their programming models

C. Cascaval, S. Chatterjee, H. Franke, K. J. Gildea, P. Pattnaik

Tags: Computer science, Heterogeneous systems, Review

August 22, 2011 by hgpu

Topical perspective on massive threading and parallelism

Robert M. Farber

Tags: Computer science, CUDA, nVidia, OpenCL, Review

August 16, 2011 by hgpu

Graphics Processing Units for Handhelds

Tomas Akenine-Moller, Jacobs Strom

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Tags: Computer science, Hardware Architecture, Review

August 9, 2011 by hgpu

Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 2011 by hgpu

Hardware accelerators for biocomputing: A survey

Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande

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Tags: Biology, Cell processor, CUDA, FPGA, Molecular dynamics, nVidia, nVidia GeForce 7800 GTX, Performance, Review, Sequence alignment

August 7, 2011 by hgpu

Xbox360 Front Side Bus – A 21.6 GB/s End-to-End Interface Design

David Siljenberg, Steve Baumgartner, Tim Buchholtz, Mark Maxson, Trevor Timpane, Jeff Johnson

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Tags: Computer science, Hardware Architecture, Review, Xbox 360

August 5, 2011 by hgpu

Cost-effective low-power graphics processing unit for handheld devices

Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo

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Tags: Computer science, Hardware Architecture, OpenGL, Review

August 2, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Graphical future

High-Performance Computing with Accelerators

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Considerations when evaluating microprocessor platforms

Considering GPGPU for HPC Centers: Is It Worth the Effort?

A taxonomy of accelerator architectures and their programming models

Topical perspective on massive threading and parallelism

Graphics Processing Units for Handhelds

Optimization of parallel Genetic Algorithms for nVidia GPUs

Hardware accelerators for biocomputing: A survey

Xbox360 Front Side Bus – A 21.6 GB/s End-to-End Interface Design

Cost-effective low-power graphics processing unit for handheld devices

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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