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Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Shinichi Yamagiwa

Tags: Computer science, Review, Tutorial

April 20, 2011 by hgpu

Design and implementation of software-managed caches for multicores with local memory

Sangmin Seo, Jaejin Lee, Zehra Sura

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Tags: Cell processor, Computer science, Memory model, OpenMP

April 20, 2011 by hgpu

Compressing Floating-Point Number Stream for Numerical Applications

Hisanobu Tomari, Mary Inaba, Kei Hiraki

Tags: Algorithms, Compression, Computer science, FFT, FPGA, Matrix multiplication

April 20, 2011 by hgpu

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Qiang Li, Panyong Zhang, Ninghui Sun

Tags: Cell processor, Computer science, FPGA, Heterogeneous systems, Memory, Performance

April 19, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

A Hybrid Analytical DRAM Performance Model

George L. Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Ali Bakhoda, Tor M. Aamodt

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Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

A Task-centric Memory Model for Scalable Accelerator Architectures

John H. Kelm, Daniel R. Johnson, Steven S. Lumetta, Matthew I. Frank, Sanjay J. Patel

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Tags: Algorithms, Computer science, Hardware Architecture, Memory model

April 19, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Dynamic detection of uniform and affine vectors in GPGPU computations

Sylvain Collange, David Defour, Yao Zhang

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Tags: Algorithms, Computer science, CUDA, Hardware Architecture, nVidia, Optimization, Tesla

April 19, 2011 by hgpu

Parallel calculation of the median and order statistics on GPUs with application to robust regression

Gleb Beliakov

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Source codes

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Numerical Analysis, nVidia, Package, Tesla C2050

April 19, 2011 by hgpu

Building a Personal High Performance Computer with Heterogeneous Processors

Qiang Li, Zhigang Huo, Ninghui Sun

Tags: Computer science, Heterogeneous systems, Performance

April 18, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Design and implementation of software-managed caches for multicores with local memory

Compressing Floating-Point Number Stream for Numerical Applications

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

A Hybrid Analytical DRAM Performance Model

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

A Task-centric Memory Model for Scalable Accelerator Architectures

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Dynamic detection of uniform and affine vectors in GPGPU computations

Parallel calculation of the median and order statistics on GPUs with application to robust regression

Building a Personal High Performance Computer with Heterogeneous Processors

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

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