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

Sparsh Mittal; Jeffrey S. Vetter; Dong Li

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

January 12, 2015 by sparsh0mittal

Testing and Exposing Weak Graphics Processing Unit Memory Models

Tyler Rey Sorensen

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 750, nVidia GeForce GTX Titan, PTX, Tesla C2075, Thesis

October 27, 2014 by hgpu

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Koji Nakano, Susumu Matsumae, Yasuaki Ito

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

October 14, 2014 by hgpu

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Bin Ren

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, Memory model, nVidia, nVidia Quadro FX 5800, Prefetch, Tesla C2050, Thesis

September 19, 2014 by hgpu

Professional CUDA C Programming

John Cheng, Max Grossman, Ty McKercher

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Tags: Algorithms, Book, Computer science, CUDA, Memory model, nVidia, Review

September 8, 2014 by hgpu

An Investigation of Unified Memory Access Performance in CUDA

Raphael Landaverde, Tiansheng Zhang, Ayse K. Coskun, Martin Herbordt

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Tags: Computer science, CUDA, Memory model, nVidia

August 26, 2014 by hgpu

Optimizing memory management on heterogeneous systems using polyhedral, compile-time techniques

Vassilis Vassiliadis

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Source codes

Tags: Computer science, Heterogeneous systems, Memory model, OpenCL, Package, Thesis

August 7, 2014 by hgpu

High-level Parallel Programming Support for Heterogeneous Systems

Bo Wu

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, OpenCL, Tesla C2050, Thesis

July 6, 2014 by hgpu

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Kazuya Tani, Daisuke Takafuji, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Programming techniques

May 31, 2014 by hgpu

Data Layout Optimization for Multi-Valued Containers in OpenCL

Robert Strzodka

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Tags: Computer science, Memory model, nVidia, nVidia GeForce GTX 295, OpenCL

May 30, 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

A New Non-Blocking Approach on GPU Dynamical Memory Management

Yu-Shiang Lin, Chun-Yuan Lin, Jon-Yu Lee

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

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BLOCKBENCH: A Framework for Analyzing Private Blockchains

Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge

hls4ml: Machine learning on FPGAs using HLS

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs

GPJSON: GPU-based JSON data processing system accessible via all GraalVM languages

GPU-based JSON data processing using structural indexes

NEPTUNE: Network- and GPU-aware management of serverless functions at the edge

NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge

HeCBench: a collection of Heterogeneous Computing benchmarks written with CUDA, HIP, SYCL (DPC++), and OpenMP-4.5

Experience of Migrating a Parallel Graph Coloring Program from CUDA to SYCL

cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms

WARPSPEED: An analytic Data Volume and Performance Estimator for GPU Kernels

Analytical Performance Estimation during Code Generation on Modern GPUs

Celerity HLA: A high-level API on top of Celerity to support functional, C++20 range-adaptors-like patterns

The Celerity High-level API: C++20 for Accelerator Clusters

GPU-Sched

CASE: A Compiler-Assisted SchEduling Framework for Multi-GPU Systems

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Testing and Exposing Weak Graphics Processing Unit Memory Models

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Professional CUDA C Programming

An Investigation of Unified Memory Access Performance in CUDA

Optimizing memory management on heterogeneous systems using polyhedral, compile-time techniques

High-level Parallel Programming Support for Heterogeneous Systems

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Data Layout Optimization for Multi-Valued Containers in OpenCL

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

A New Non-Blocking Approach on GPU Dynamical Memory Management

Recent source codes

BLOCKBENCH: A Framework for Analyzing Private Blockchains

hls4ml: Machine learning on FPGAs using HLS

AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs

GPJSON: GPU-based JSON data processing system accessible via all GraalVM languages

NEPTUNE: Network- and GPU-aware management of serverless functions at the edge

HeCBench: a collection of Heterogeneous Computing benchmarks written with CUDA, HIP, SYCL (DPC++), and OpenMP-4.5

cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms

WARPSPEED: An analytic Data Volume and Performance Estimator for GPU Kernels

Celerity HLA: A high-level API on top of Celerity to support functional, C++20 range-adaptors-like patterns

GPU-Sched

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