high performance computing on graphics processing units: hgpu.org

hgpu.org » Hardware Architecture

The More We Share, The More We Have: Improving GPU performance through Register Sharing

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

View

Download (PDF)

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

March 20, 2015 by hgpu

Mascar: Speeding up GPU Warps by Reducing Memory Pitstops

Ankit Sethia, D. Anoushe Jamshidi, Scott Mahlke

View

Download (PDF)

Tags: Computer science, GPGPU-sim, Hardware Architecture, nVidia, nVidia GeForce GTX 480

February 1, 2015 by hgpu

A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches

Sparsh Mittal; Jeffrey S. Vetter; Dong Li

View

Download (PDF)

Tags: cache, Compiler, cpu, Energy-efficient computing, GPU, Hardware Architecture, Memory model

January 12, 2015 by sparsh0mittal

A Survey Of Techniques for Managing and Leveraging Caches in GPUs

Sparsh Mittal

View

Download (PDF)

Tags: GPGPU, GPGPU architecture, GPU, Hardware, Hardware Architecture

November 18, 2014 by sparsh0mittal

Understanding the ISA impact on GPU Architecture

Mayank Vinodbhai Kothiya

View

Download (PDF)

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

July 28, 2014 by hgpu

Fine-grain Task Aggregation and Coordination on GPUs

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

View

Download (PDF)

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

May 10, 2014 by hgpu

Architectural Support for Virtual Memory in GPUs

Bharath Subramanian Pichai

View

Download (PDF)

Tags: Computer science, Hardware Architecture, Heterogeneous systems, Memory, Thesis

April 19, 2014 by hgpu

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

View

Download (PDF)

Tags: comparison, Computer science, cpu, CUDA, Energy-efficient computing, FPGA, Hardware Architecture, nVidia

April 18, 2014 by sparsh0mittal

Precision-Aware Soft Error Protection for GPUs

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

View

Download (PDF)

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

February 25, 2014 by hgpu

A Scalable Multi-Path Microarchitecture for Efficient GPU Control Flow

Ahmed ElTantawy, Jessica Wenjie Ma, Mike O'Connor, Tor M. Aamodt

View

Download (PDF)

Tags: Computer science, Hardware Architecture, Performance

February 9, 2014 by hgpu

A Detailed GPU Cache Model Based on Reuse Distance Theory

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal, Henri Bal

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, nVidia GeForce GTX 470, Package

January 29, 2014 by hgpu

Performance-Correctness Challenges in Emerging Heterogeneous Multicore Processors

Vineeth Thamarassery Mekkat

View

Download (PDF)

Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, nVidia GeForce 8600 GTS, Thesis

January 28, 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

The More We Share, The More We Have: Improving GPU performance through Register Sharing

Mascar: Speeding up GPU Warps by Reducing Memory Pitstops

A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches

A Survey Of Techniques for Managing and Leveraging Caches in GPUs

Understanding the ISA impact on GPU Architecture

Fine-grain Task Aggregation and Coordination on GPUs

Architectural Support for Virtual Memory in GPUs

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Precision-Aware Soft Error Protection for GPUs

A Scalable Multi-Path Microarchitecture for Efficient GPU Control Flow

A Detailed GPU Cache Model Based on Reuse Distance Theory

Performance-Correctness Challenges in Emerging Heterogeneous Multicore Processors

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

Most viewed papers (last 30 days)