high performance computing on graphics processing units: hgpu.org

Michael Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram

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Tags: Computer science, Performance, Review

August 26, 2011 by hgpu

Exploring graphics processing units as parallel coprocessors for online aggregation

Tobias Lauer, Amitava Datta, Zurab Khadikov, Christoffer Anselm

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Performance

August 26, 2011 by hgpu

Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

S. Sirisup, S. U-raekolan, E. Kijsipongse

Tags: Computer science, Grid, Heterogeneous systems

August 26, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

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high performance computing on graphics processing units: hgpu.org

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

directCell: hybrid systems with tightly coupled accelerators

A breadth-first course in multicore and manycore programming

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Automatic contention detection and amelioration for data-intensive operations

Fast and sleek glyph rendering for interactive HARDI data exploration

Parallel Fast Gauss Transform

PFunc: modern task parallelism for modern high performance computing

Challenging cloning related problems with GPU-based algorithms

Considerations when evaluating microprocessor platforms

Exploring graphics processing units as parallel coprocessors for online aggregation

Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

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