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Microarchitectural Performance Characterization of Irregular GPU Kernels

Molly A. O'Neil, Martin Burtscher

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

October 3, 2014 by hgpu

Automated Software Testing of Memory Performance in Embedded GPUs

Sudipta Chattopadhyay, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance

September 19, 2014 by hgpu

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Yue Wang

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, Thesis

September 13, 2014 by hgpu

Bandwidth Requirements of GPU Architectures

Benjamin C. Johnstone

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

August 26, 2014 by hgpu

Understanding the ISA impact on GPU Architecture

Mayank Vinodbhai Kothiya

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, PTX, Tesla, Thesis

July 28, 2014 by hgpu

Performance-efficient mechanisms for managing irregularity in throughput processors

Minsoo Rhu

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance, Prefetch, Thesis

July 20, 2014 by hgpu

Effect And Analysis of Elastic Fidelity Computing On GPUs

Chetan Arvind Patil, Georgios Tziantzioulis, Nikos Hardavellas

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 480, OpenCL

June 26, 2014 by hgpu

A Case Against Small Data Types on GPGPUs

Ahmad Lashgar, Amirali Baniasadi

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance

June 18, 2014 by hgpu

Fine-grain Task Aggregation and Coordination on GPUs

Marc S. Orr, Bradford M. Beckmann, Steven K. Reinhardt, David A. Wood

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Tags: Computer science, GPGPU-sim, Hardware Architecture, OpenCL, Performance

May 10, 2014 by hgpu

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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Tags: Computer science, GPGPU-sim, Performance, Thesis

May 7, 2014 by hgpu

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim

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Tags: Computer science, GPGPU-sim, Memory model, nVidia, Tesla C2050

April 13, 2014 by hgpu

Precision-Aware Soft Error Protection for GPUs

David J. Palframan, Nam Sung Kim, Mikko H. Lipasti

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Tags: Computer science, GPGPU-sim, Hardware Architecture, nVidia, nVidia Quadro FX 5800

February 25, 2014 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Microarchitectural Performance Characterization of Irregular GPU Kernels

Automated Software Testing of Memory Performance in Embedded GPUs

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Bandwidth Requirements of GPU Architectures

Understanding the ISA impact on GPU Architecture

Performance-efficient mechanisms for managing irregularity in throughput processors

Effect And Analysis of Elastic Fidelity Computing On GPUs

A Case Against Small Data Types on GPGPUs

Fine-grain Task Aggregation and Coordination on GPUs

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Precision-Aware Soft Error Protection for GPUs

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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