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Power Consumption of GPUs from a Software Perspective

Sylvain Collange, David Defour, Arnaud Tisserand

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2, Tesla C870, Tesla D870, Tesla T10P

January 7, 2011 by hgpu

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrigo Dominguez, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, ATI Stream, Brook, Code generation, Compilers, Computer science, Optimization

January 7, 2011 by hgpu

Fast BVH Construction on GPUs

C. Lauterbach, M. Garland, S. Sengupta, D. Luebke, D. Manocha

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing

January 7, 2011 by hgpu

Low latency photon mapping using block hashing

Vincent C. H. Ma, Michael D. Mccool

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Tags: Algorithms, Computer science, Hashing, Rendering

January 7, 2011 by hgpu

Message passing on data-parallel architectures

Jeff A. Stuart, John D. Owens

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Tags: Computer science, GPU cluster, MPI, Networks, nVidia, nVidia GeForce GTX 280

January 6, 2011 by hgpu

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Perhaad Mistry, Sherman Braganza, David Kaeli, Miriam Leeser

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Tags: Biology, CUDA, Genetics, Image processing, nVidia, nVidia GeForce 8800 GTX

January 6, 2011 by hgpu

Hardware-accelerated parallel non-photorealistic volume rendering

Eric B. Lum, Kwan-Liu Ma

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Tags: Computer science, nVidia, nVidia GeForce 3, Rendering, Visualization

January 6, 2011 by hgpu

Interactive volume illustration

Z. Nagy, J. Schneider, R. Westermann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 4, OpenGL, Rendering

January 6, 2011 by hgpu

Synthetic Aperture Radar Processing with GPGPU

Maurizio di Bisceglie, Michele Di Santo, Carmela Galdi, Riccardo Lanari, Nadia Ranaldo

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Tags: CUDA, nVidia, Signal processing, Tesla C1060

January 6, 2011 by hgpu

An asymmetric distributed shared memory model for heterogeneous parallel systems

Isaac Gelado, John E. Stone, Javier Cabezas, Sanjay Patel, Nacho Navarro, Wen-mei W. Hwu

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 280

January 6, 2011 by hgpu

Efficient gather and scatter operations on graphics processors

Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Search, Sorting, Sparse matrix

January 6, 2011 by hgpu

Data-parallel algorithms and data structures

John Owens

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Tags: Algorithms, Computer science, Data parallelism, Presentation

January 6, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Power Consumption of GPUs from a Software Perspective

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Fast BVH Construction on GPUs

Low latency photon mapping using block hashing

Message passing on data-parallel architectures

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Hardware-accelerated parallel non-photorealistic volume rendering

Interactive volume illustration

Synthetic Aperture Radar Processing with GPGPU

An asymmetric distributed shared memory model for heterogeneous parallel systems

Efficient gather and scatter operations on graphics processors

Data-parallel algorithms and data structures

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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