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Characterization of Speech Recognition Systems on GPU Architectures

Albert Segura Salvador

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Tags: Algorithms, Computer science, CUDA, Deep learning, GPGPU-sim, nVidia, nVidia GeForce GTX 980, Speech recognition, Thesis

September 22, 2016 by hgpu

Improving GPU Performance: Reducing Memory Conflicts and Latency

Gert-Jan van den Braak

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Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, nVidia GeForce GTX 750 Ti, nVidia GeForce GTX Titan, OpenCL, Performance, PTX, Thesis

May 11, 2016 by hgpu

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks

P. Judd, J. Albericio, N. Enright Jerger, A. Moshovos, T. Hetherington, T. Aamodt

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Tags: Computer science, Deep learning, GPGPU-sim, Neural networks

March 3, 2016 by hgpu

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Tao Zhang

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

July 10, 2015 by hgpu

Exploring CPU-GPU Coherence

Gokul Subramanian, Urmish Thakker, Swapnil Haria, Rohit Shukla, Han Lin

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Tags: ARM, ATI, Computer science, GPGPU-sim, Heterogeneous systems, HSA, OpenCL

June 8, 2015 by hgpu

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

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

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

March 20, 2015 by hgpu

Analysis and Modeling of the Timing Behavior of GPU Architectures

Petros Voudouris

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

February 10, 2015 by hgpu

Unlocking Bandwidth for GPUs in CC-NUMA Systems

Neha Agarwal, David Nellans, Mike O'Connor, Stephen W. Keckler, Thomas F. Wenisch

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

February 6, 2015 by hgpu

Mascar: Speeding up GPU Warps by Reducing Memory Pitstops

Ankit Sethia, D. Anoushe Jamshidi, Scott Mahlke

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

February 1, 2015 by hgpu

GPU computing architecture for irregular parallelism

Wilson Wai Lun Fung

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

January 26, 2015 by hgpu

GPGPU-Sim

Filip Andersson

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Tesla C2050, Thesis

December 22, 2014 by hgpu

An Optimized GPU Memory Hierarchy Design for an OpenCL Kernel

Numair Khan

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Tags: Computer science, GPGPU-sim, Memory, OpenCL

December 16, 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

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high performance computing on graphics processing units: hgpu.org

Characterization of Speech Recognition Systems on GPU Architectures

Improving GPU Performance: Reducing Memory Conflicts and Latency

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Exploring CPU-GPU Coherence

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

Analysis and Modeling of the Timing Behavior of GPU Architectures

Unlocking Bandwidth for GPUs in CC-NUMA Systems

Mascar: Speeding up GPU Warps by Reducing Memory Pitstops

GPU computing architecture for irregular parallelism

GPGPU-Sim

An Optimized GPU Memory Hierarchy Design for an OpenCL Kernel

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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