high performance computing on graphics processing units: hgpu.org

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Data Remanence and Digital Forensic Investigation for CUDA Graphics Processing Units

X. J. A. Bellekens, G. Paul, J. M. Irvine, C. Tachtatzis, R. C. Atkinson, C. Renfrew, T. Kirkham

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Tags: Computer science, data leak, Data recovery, forensic, GPU, Memory, remanence, vulnerable

May 28, 2016 by xhgpu

A Graph-based Model for GPU Caching Problems

Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 680, Task scheduling

May 9, 2016 by hgpu

Exposing Errors Related to Weak Memory in GPU Applications

Tyler Sorensen, Alastair F. Donaldson

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, nVidia Quadro K5200, Tesla C2050, Tesla C2075, Tesla K20

May 3, 2016 by hgpu

A Survey of Cache Bypassing Techniques

Sparsh Mittal

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Tags: cache bypassing, cpu, CPU-GPU heterogeneous system, DRAM, GPU, Memory, non-volatile memory, survey

April 29, 2016 by sparsh0mittal

A Survey Of Architectural Techniques for Managing Process Variation

Sparsh Mittal

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Tags: cache, computer architecture, cpu, DVFS, GPU, Memory, survey

December 6, 2015 by sparsh0mittal

Heterogeneous CPU/(GP) GPU Memory Hierarchy Analysis and Optimization

Josue Vladimir Quiroga Esparza

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, Thesis

November 4, 2015 by hgpu

Adaptive and Transparent Cache Bypassing for GPUs

Ang Li, Gert-Jan van den Braak, Akash Kumar, Henk Corporaal

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Tags: Benchmarking, cache, Computer science, Memory, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 570, nVidia GeForce GTX 690, nVidia GeForce GTX 750 Ti, nVidia GeForce GTX 980, Performance, PTX, Tesla K40, Tesla K80

September 24, 2015 by hgpu

A Survey Of Architectural Techniques for Near-Threshold Computing

Sparsh Mittal

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Tags: cpu, Energy-efficient computing, low voltage computing, Memory, Power-efficient computing, survey

September 7, 2015 by sparsh0mittal

A Survey Of Techniques for Architecting DRAM Caches

Sparsh Mittal, Jeffrey Vetter

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Tags: 3D DRAM, bandwidth, cpu, die-stacking, GPU, Memory, survey

August 7, 2015 by sparsh0mittal

A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

Sparsh Mittal and Jeffrey S. Vetter

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Tags: cpu, flash, high performance computing, Memory, non-volatile memory, storage, supercomputer

June 3, 2015 by sparsh0mittal

Model-driven optimisation of memory hierarchy and multithreading on GPUs

Andrew A. Haigh, Eric C. McCreath

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 580, Tesla K20

March 2, 2015 by hgpu

Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool (open-source code)

Sparsh Mittal, Matt Poremba, Jeffrey Vetter, Yuan Xie

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Source codes

Tags: Architecture, area, cache, cpu, energy, GPGPU, latency modeling, Memory, Package

February 22, 2015 by sparsh0mittal

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Data Remanence and Digital Forensic Investigation for CUDA Graphics Processing Units

A Graph-based Model for GPU Caching Problems

Exposing Errors Related to Weak Memory in GPU Applications

A Survey of Cache Bypassing Techniques

A Survey Of Architectural Techniques for Managing Process Variation

Heterogeneous CPU/(GP) GPU Memory Hierarchy Analysis and Optimization

Adaptive and Transparent Cache Bypassing for GPUs

A Survey Of Architectural Techniques for Near-Threshold Computing

A Survey Of Techniques for Architecting DRAM Caches

A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

Model-driven optimisation of memory hierarchy and multithreading on GPUs

Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool (open-source code)

Recent source codes

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

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

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