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6th international workshop on accelerator programming using directives, waccpd 2019

6th International Workshop on Accelerator Programming Using ...

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6th international workshop on accelerator programming using directives, waccpd 2019

ISBN: (纸本)9783030499426

the proceedings contain 7 papers. the special focus in this conference is on accelerator programming using directives. the topics include: Accelerating the Performance of Modal Aerosol Module of E3SM using OpenACC;Evaluation of Directive-Based GPU programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices;Performance of the RI-MP2 Fortran Kernel of GAMESS on GPUs via Directive-Based Offloading with Math Libraries;performance Portable Implementation of a Kinetic Plasma Simulation Mini-App;A Portable SIMD Primitive using Kokkos for Heterogeneous Architectures.

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Proceedings of waccpd 2022: 9th workshop on accelerator programming using directives, Held in conjunction with SC 2022: the international Conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of WACCPD 2022: 9th Workshop on Accelerator Prog...

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9th workshop on accelerator programming using directives, waccpd 2022

ISBN: (纸本)9781665490191

the proceedings contain 6 papers. the topics discussed include: analysis of validating and verifying OpenACC compilers 3.0 and above;OmpSs-2 and OpenACC interoperation;extending MAGMA portability with OneAPI;KokkACC: enhancing Kokkos with OpenACC;SPEL: software tool for porting E3SM land model with OpenACC in a function unit test framework;and GPU-accelerated sparse matrix vector product based on element-by-element method for unstructured FEM using OpenACC.

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5th international workshop on accelerator programming using directives, waccpd 2018

5th International Workshop on Accelerator Programming Using ...

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5th international workshop on accelerator programming using directives, waccpd 2018

ISBN: (纸本)9783030122737

the proceedings contain 6 papers. the special focus in this conference is on accelerator programming using directives. the topics include: A Case Study for Performance Portability using OpenMP 4.5;OpenACC Routine Directive Propagation using Interprocedural Analysis;OpenACC Based GPU Parallelization of Plane Sweep Algorithm for Geometric Intersection.

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Evaluation of Directive-Based GPU programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices 6th

Evaluation of Directive-Based GPU Programming Models on a Bl...

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6th international workshop on accelerator programming using directives (waccpd)

作者： Rabbi, Fazlay Daley, Christopher S. Aktulga, Hasan Metin Wright, Nicholas J. Michigan State Univ E Lansing MI 48823 USA Lawrence Berkeley Natl Lab Berkeley CA 94720 USA

ISBN: (纸本)9783030499426;9783030499433

Achieving high performance and performance portability for large-scale scientific applications is a major challenge on heterogeneous computing systems such as many-core CPUs and accelerators like GPUs. In this work, we implement a widely used block eigensolver, Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG), using two popular directive based programming models (OpenMP and OpenACC) for GPU-accelerated systems. Our work differs from existing work in that it adopts a holistic approach that optimizes the full solver performance rather than narrowing the problem into small kernels (e.g., SpMM, SpMV). Our LOPBCG GPU implementation achieves a 2.8x-4.3x speedup over an optimized CPU implementation when tested with four different input matrices. the evaluated configuration compared one Skylake CPU to one Skylake CPU and one NVIDIA V100 GPU. Our OpenMP and OpenACC LOBPCG GPU implementations gave nearly identical performance. We also consider how to create an efficient LOBPCG solver that can solve problems larger than GPU memory capacity. To this end, we create microbenchmarks representing the two dominant kernels (inner product and SpMM kernel) in LOBPCG and then evaluate performance when using two different programming approaches: tiling the kernels, and using Unified Memory with the original kernels. Our tiled SpMM implementation achieves a 2.9x and 48.2x speedup over the Unified Memory implementation on supercomputers with PCIe Gen3 and NVLink 2.0 CPU to GPU interconnects, respectively.

关键词： Sparse solvers Performance optimization Performance portability Directive based programming models OpenMP 4.5 OpenACC

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OpenACC Based GPU Parallelization of Plane Sweep Algorithm for Geometric Intersection 5th

OpenACC Based GPU Parallelization of Plane Sweep Algorithm f...

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5th international workshop on accelerator programming using directives (waccpd)

作者： Paudel, Anmol Puri, Satish Marquette Univ Dept Math Stat & Comp Sci Milwaukee WI 53233 USA

ISBN: (纸本)9783030122744;9783030122737

Line segment intersection is one of the elementary operations in computational geometry. Complex problems in Geographic Information Systems (GIS) like finding map overlays or spatial joins using polygonal data require solving segment intersections. Plane sweep paradigm is used for finding geometric intersection in an efficient manner. However, it is difficult to parallelize due to its in-order processing of spatial events. We present a new fine-grained parallel algorithm for geometric intersection and its CPU and GPU implementation using OpenMP and OpenACC. To the best of our knowledge, this is the first work demonstrating an effective parallelization of plane sweep on GPUs. We chose compiler directive based approach for implementation because of its simplicity to parallelize sequential code. using Nvidia Tesla P100 GPU, our implementation achieves around 40X speedup for line segment intersection problem on 40K and 80K data sets compared to sequential CGAL library.

关键词： Plane sweep Line segment intersection Directive based programming OpenMP OpenACC

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A Case Study for Performance Portability using OpenMP 4.5 5th

A Case Study for Performance Portability Using OpenMP 4.5

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5th international workshop on accelerator programming using directives (waccpd)

作者： Gayatri, Rahulkumar Yang, Charlene Kurth, thorsten Deslippe, Jack Lawrence Berkeley Natl Lab LBNL Natl Energy Res Sci Comp Ctr NERSC Berkeley CA 94720 USA

ISBN: (纸本)9783030122744;9783030122737

In recent years, the HPC landscape has shifted away from traditional multi-core CPU systems to energy-efficient architectures, such as many-core CPUs and accelerators like GPUs, to achieve high performance. the goal of performance portability is to enable developers to rapidly produce applications which can run efficiently on a variety of these architectures, with little to no architecture specific code adoptions required. We implement a key kernel from a material science application using OpenMP 3.0, OpenMP 4.5, OpenACC, and CUDA on Intel architectures, Xeon and Xeon Phi, and NVIDIA GPUs, P100 and V100. We will compare the performance of the OpenMP 4.5 implementation with that of the more architecture-specific implementations, examine the performance of the OpenMP 4.5 implementation on CPUs after back-porting, and share our experience optimizing large reduction loops, as well as discuss the latest compiler status for OpenMP 4.5 and OpenACC.

关键词： OpenMP 3.0 OpenMP 4.5 OpenACC CUDA Parallel programming models P100 V100 Xeon Phi Haswell

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Heterogeneous programming and Optimization of Gyrokinetic Toroidal Code using directives 5th

Heterogeneous Programming and Optimization of Gyrokinetic To...

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5th international workshop on accelerator programming using directives (waccpd)

作者： Zhang, Wenlu Joubert, Wayne Wang, Peng Wang, Bei Tang, William Niemerg, Matthew Shi, Lei Taimourzadeh, Sam Bao, Jian Lin, Zhihong Univ Calif Irvine Dept Phys & Astron Irvine CA 92697 USA Chinese Acad Sci Inst Phys Beijing Peoples R China Oak Ridge Natl Lab Oak Ridge TN USA NVidia Santa Clara CA USA Princeton Univ Princeton NJ 08544 USA IBM Corp New York NY USA

ISBN: (纸本)9783030122744;9783030122737

the latest production version of the fusion particle simulation code, Gyrokinetic Toroidal Code (GTC), has been ported to and optimized for the next generation exascale GPU supercomputing platform. Heterogeneous programming using directives has been utilized to balance the continuously implemented physical capabilities and rapidly evolving software/hardware systems. the original code has been refactored to a set of unified functions/calls to enable the acceleration for all the species of particles. Extensive GPU optimization has been performed on GTC to boost the performance of the particle push and shift operations. In order to identify the hotspots, the code was the first benchmarked on up to 8000 nodes of the Titan supercomputer, which shows about 2-3 times overall speedup comparing NVidia M2050 GPUs to Intel Xeon X5670 CPUs. this Phase I optimization was followed by further optimizations in Phase II, where single-node tests show an overall speedup of about 34 times on SummitDev and 7.9 times on Titan. the real physics tests on Summit machine showed impressive scaling properties that reaches roughly 50% efficiency on 928 nodes of Summit. the GPU + CPU speed up from purely CPU is over 20 times, leading to an unprecedented speed.

关键词： Massively parallel computing Heterogeneous programming directives GPU OpenACC Fusion plasma Particle in cell

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accelerator programming using directives 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Sandra Wienke Sridutt Bhalachandra

this book constitutes the refereed post-conference proceedings of the 6th international workshop on accelerator programming using directives, waccpd 2019, held in Denver, CO, USA, in November 2019.

ISBN: (数字)9783030499433

ISBN: (纸本)9783030499426

this book constitutes the refereed post-conference proceedings of the 6th international workshop on accelerator programming using directives, waccpd 2019, held in Denver, CO, USA, in November 2019.

关键词： programming Languages, Compilers, Interpreters Computer Systems Organization and Communication Networks Control Structures and Microprogramming Input/Output and Data Communications Logic Design

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accelerator programming using directives 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Sunita Chandrasekaran Guido Juckeland Sandra Wienke

ISBN: (数字)9783030122744

ISBN: (纸本)9783030122737

this book constitutes the refereed post-conference proceedings of the 5th international workshop on accelerator programming using directives, waccpd 2018, held in Dallas, TX, USA, in November 2018.;the 6 full papers presented have been carefully reviewed and selected from 12 submissions. the papers share knowledge and experiences to program emerging complex parallel computing systems. they are organized in the following three sections: applications; using openMP; and program evaluation.

关键词： programming Languages, Compilers, Interpreters Logic Design Input/Output and Data Communications Control Structures and Microprogramming Computer Systems Organization and Communication Networks

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