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检索条件"主题词=PARALLEL PROGRAMMING MODELS"

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Enabling Multi-threading in Heterogeneous Quantum-Classical programming models

Enabling Multi-threading in Heterogeneous Quantum-Classical ...

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37th IEEE International parallel and Distributed Processing Symposium (IPDPS)

作者： Hayashi, Akihiro Adams, Austin Young, Jeffrey McCaskey, Alexander Dumitrescu, Eugene Sarkar, Vivek Conte, Thomas M. Georgia Inst Technol Atlanta GA 30332 USA NVIDIA Corp Santa Clara CA USA Oak Ridge Natl Lab Oak Ridge TN USA

ISBN: (纸本)9798350311990

While quantum computers enable significant performance improvements for certain classes of applications, building a well-defined programming model has been a pressing issue. In this paper, we address some of the key limitations to realizing a generic heterogeneous parallel programming model for quantumclassical heterogeneous platforms. We discuss our experience in enabling user-level multi-threading in QCOR [1] as well as challenges that need to be addressed for programming future quantum-classical systems. Specifically, we discuss our design and implementation of introducing C++-based parallel constructs to enable 1) parallel execution of a quantum kernel with std::thread and 2) asynchronous execution with std::async. To do so, we provide a detailed overview of the current implementation of the QCOR programming model and runtime, and discuss how we add 1) thread-safety to some of its user-facing API routines, and 2) increase parallelism in QCOR by removing data races that inhibit multi-threading so as to better utilize available computing resources. We also present preliminary performance results with the Quantum++ [2] back end on a single-node Ryzen9 3900X machine that has 12 physical cores (24 hardware threads) with 128GB of RAM. The results show that running two Bell kernels with 12 threads per kernel in parallel outperforms running the kernels one after the other each with 24 threads (1.63x improvement). In addition, we observe the same trend when running two Shor's algorthm kernels in parallel (1.22x faster than executing the kernels one after the other). Furthermore, the parallel version is better in terms of strong scalability. We believe that our design, implementation, and results will open up an opportunity not only for 1) enabling quicker prototyping of parallel-aware quantum-classical algorithms on quantum circuit simulators in the short-term, but also for 2) realizing a generic parallel programming model for quantumclassical heterogeneous platforms in

关键词： Quantum-Classical programming models parallel programming models QCOR Heterogeneous Computing

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Efficient update of ghost regions using active messages

Efficient update of ghost regions using active messages

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19th International Conference on High Performance Computing (HiPC)

作者： Milthorpe, Josh Rendell, Alistair P. Australian Natl Univ Res Sch Comp Sci Canberra ACT Australia

ISBN: (纸本)9781467323703;9781467323727

The use of ghost regions is a common feature of many distributed grid applications. A ghost region holds local read-only copies of remotely-held boundary data which are exchanged and cached many times over the course of a computation. X10 is a modern parallel programming language intended to support productive development of distributed applications. X10 supports the "active message" paradigm, which combines data transfer and computation in one-sided communications. A central feature of X10 is the distributed array, which distributes array data across multiple places, providing standard read and write operations as well as powerful high-level operations. We used active messages to implement ghost region updates for X10 distributed arrays using two different update algorithms. Our implementation exploits multiple levels of parallelism and avoids global synchronization;it also supports split-phase ghost updates, which allows for overlapping computation and communication. We compare the performance of these algorithms on two platforms: an Intel x86-64 cluster over QDR InfiniBand, and a Blue Gene/P system, using both stand-alone benchmarks and an example computational chemistry application code. Our results suggest that on a dynamically threaded architecture, a ghost region update using only pairwise synchronization exhibits superior scaling to an update that uses global collective synchronization.

关键词： parallel programming models Partitioned Global Address Space (PGAS) X10 language active messages structured grids distributed arrays ghost regions lattice Boltzmann method Smooth Particle Mesh Ewald method

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parallel signal processing with S-Net

Parallel signal processing with S-Net

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International Conference on Computational Science (ICCS)

作者： Penczek, Frank Herhut, Stephan Grelck, Clemens Scholz, Sven-Bodo Shafarenko, Alex Barrere, Remi Lenormand, Eric Univ Hertfordshire Sch Comp Sci Hatfield AL10 9AB Herts England Univ Amsterdam Inst Informat NL-1012 WX Amsterdam Netherlands Thales Res & Technol Palaiseau France

We argue that programming high-end stream-processing applications requires a form of coordination language that enables the designer to represent interactions between stream-processing functions asynchronously. We further argue that the level of abstraction that current programming tools engender should be drastically increased and present a coordination language and component technology that is suitable for that purpose. We demonstrate our approach on a real radar-data processing application from which we reuse all existing components and present speed-ups that we were able to achieve on contemporary multi-core hardware. (C) 2010 Published by Elsevier Ltd.

关键词： parallel programming models component models signal processing stream processing

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Demistifying HPC-Quantum integration: it's all about scheduling

Demistifying HPC-Quantum integration: it's all about schedul...

引用

Workshop on High Performance and Quantum Computing Integration (HPQCI)

作者： Viviani, Paolo LINKS Fdn Turin Italy

ISBN: (纸本)9798400706431

Recent research on the integration between HPC and quantum computer was mostly focused on the software stack and quantum circuit compilation aspects, neglecting critical issues like HPC resource allocation and job scheduling given the scarcity of QPUs, and disregarding the heterogeneity of current quantum technologies and their computational models (e.g., digital vs. analogue). This work would like to bring the attention to issues that are critical to achieve integration with operational HPC environments given the current status of quantum computers maturity and heterogeneity.

关键词： quantum computing HPC parallel programming models job scheduling resource allocation

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Executing Optimized Irregular Applications Using Task Graphs Within Existing parallel models

Executing Optimized Irregular Applications Using Task Graphs...

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25th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

作者： Krieger, Christopher D. Strout, Michelle Mills Roelofs, Jonathan Bajwa, Amanreet Colorado State Univ Ft Collins CO 80526 USA Colorado Sch Mines Golden CO 80401 USA

ISBN: (纸本)9780769549569;9781467362184

Many sparse or irregular scientific computations are memory bound and benefit from locality improving optimizations such as blocking or tiling. These optimizations result in asynchronous parallelism that can be represented by arbitrary task graphs. Unfortunately, most popular parallel programming models with the exception of Threading Building Blocks (TBB) do not directly execute arbitrary task graphs. In this paper, we compare the programming and execution of arbitrary task graphs qualitatively and quantitatively in TBB, the OpenMP doall model, the OpenMP 3.0 task model, and Cilk Plus. We present performance and scalability results for 8 and 40 core shared memory systems on a sparse matrix iterative solver and a molecular dynamics benchmark.

关键词： irregular applications parallel programming models task graphs

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Online Scalability Characterization of Data-parallel Programs on Many Cores 16

Online Scalability Characterization of Data-Parallel Program...

引用

International Conference on parallel Architectures and Compilation (PACT)

作者： Cho, Younghyun Oh, Surim Egger, Bernhard Seoul Natl Univ Dept Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9781450341219

We present an accurate online scalability prediction model for data-parallel programs on NUMA many-core systems. Memory contention is considered to be the major limiting factor of program scalability as data parallelism limits the amount of synchronization or data dependencies between parallel work units. Reflecting the architecture of NUMA systems, contention is modeled at the last-level caches of the compute nodes and the memory nodes using a two level queuing model to estimate the mean service time of the individual memory nodes. Scalability predictions for individual or co-located parallel applications are based solely on data obtained during a short sampling period at runtime;this allows the presented model to be employed in a variety of scenarios. The proposed model has been implemented into an open-source OpenCL and the GNU OpenMP runtime and evaluated on a 64-core AMD system. For a wide variety of parallel workloads and configurations, the evaluations show that the model is able to predict the scalability of data-parallel kernels with high accuracy.

关键词： performance prediction queuing models multi-socket multi-core architectures openmp many-core resource management performance modeling opencl space-shared scheduling memory contention last-level caches parallel programming models performance scalability data-parallelism numa architectures memory architectures

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Software Data-Triggered Threads 12

Software Data-Triggered Threads

引用

ACM International Conference on Object Oriented programming Systems Languages and Applications

作者： Tseng, Hung-Wei Tullsen, Dean M. Univ Calif San Diego Dept Comp Sci & Engn La Jolla CA 92093 USA

ISBN: (纸本)9781450315616

The data-triggered threads (DTT) programming and execution model can increase parallelism and eliminate redundant computation. However, the initial proposal requires significant architecture support, which impedes existing applications and architectures from taking advantage of this model. This work proposes a pure software solution that supports the DTT model without any hardware support. This research uses a prototype compiler and runtime libraries running on top of existing machines. Several enhancements to the initial software implementation are presented, which further improve the performance. The software runtime system improves the performance of serial C SPEC benchmarks by 15% on a Nehalem processor, but by over 7X over the full suite of single-thread applications. It is shown that the DTT model can work in conjunction with traditional parallelism. The DTT model provides up to 64X speedup over parallel applications exploiting traditional parallelism.

关键词： Data-triggered threads parallel programming models

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Case Study of Using Kokkos and SYCL as Performance-Portable Frameworks for Milc-Dslash Benchmark on NVIDIA, AMD and Intel GPUs

Case Study of Using Kokkos and SYCL as Performance-Portable ...

引用

International Workshop on Performance, Portability and Productivity in HPC (P3HPC)

作者： Dufek, Amanda S. Gayatri, Rahulkumar Mehta, Neil Doerfler, Douglas Cook, Brandon Ghadar, Yasaman DeTar, Carleton NERSC LBNL Berkeley CA 94720 USA Argonne Natl Lab Lemont IL USA Univ Utah Salt Lake City UT USA

ISBN: (纸本)9781665424394

Six of the top ten supercomputers in the TOP500 list from June 2021 rely on NVIDIA GPUs to achieve their peak compute bandwidth. With the announcement of Aurora, Frontier, and El Capitan, Intel and AMD have also entered the domain of providing GPUs for scientific computing. A consequence of the increased diversity in the GPU landscape is the emergence of portable programming models such as Kokkos, SYCL, OpenCL, and OpenMP, which allow application developers to maintain a single-source code across a diverse range of hardware architectures. While the portable frameworks try to optimize the compute resource usage on a given architecture, it is the programmers responsibility to expose parallelism in an application that can take advantage of thousands of processing elements available on GPUs. In this paper, we introduce a GPU-friendly parallel implementation of Milc-Dslash that exposes multiple hierarchies of parallelism in the algorithm. Milc-Dslash was designed to serve as a benchmark with highly optimized matrix-vector multiplications to measure the resource utilization on the GPU systems. The parallel hierarchies in the Milc-Dslash algorithm are mapped onto a target hardware using Kokkos and SYCL programming models. We present the performance achieved by Kokkos and SYCL implementations of Milc-Dslash on NVIDIA A100 GPU, AMD MI100 GPU, and Intel Gen9 GPU. Additionally, we compare the Kokkos and SYCL performances with those obtained from the versions written in CUDA and HIP programming models on NVIDIA A100 GPU and AMD MI100 GPU, respectively.

关键词： parallel programming models Kokkos SYCL Milc-Dslash

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Reducing the overhead of intra-node communication in clusters of SMPs

Reducing the overhead of intra-node communication in cluster...

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3rd International Conference on parallel and Distributed Processing and Applications

作者： Hunold, S Rauber, T Univ Bayreuth Dept Math Phys & Comp Sci Bayreuth Germany

ISBN: (纸本)3540297693

This article presents the C++ library vShark which reduces the intranode communication overhead of parallel programs on clusters of SMPs. The library is built on top of message-passing libraries like MPI to provide thread-safe communication but most importantly, to improve the communication between threads within one SMP node. vShark uses a modular but transparent design which makes it independent of specific communication libraries, Thus, different subsystems such as MPI, CORBA, or PVM could also be used for low-level communication. We present an implementation of vShark based on MPI and the POSIX thread library, and show that the efficient intra-node communication of vShark improves the performance of parallel algorithms.

关键词： clusters of SMPs parallel programming models message passing between threads

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ClusterSs: A Task-Based programming Model for Clusters 11

ClusterSs: A Task-Based Programming Model for Clusters

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20th International Symposium on High Performance Distributed Computing

作者： Tejedor, Enric Farreras, Montse Grove, David Badia, Rosa M. Almasi, Gheorghe Labarta, Jesus UPC CNS BSC Barcelona Spain

ISBN: (纸本)9781450305525

programming for large-scale, multicore-based architectures requires adequate tools that offer ease of programming while not hindering application performance. Star Ss is a family of parallel programming models based on automatic function level parallelism that targets productivity. Star Ss deploys a data-flow model: it analyses dependencies between tasks and manages their execution, exploiting their concurrency as much as possible. We introduce Cluster Superscalar (Cluster Ss), a new Star Ss member designed to execute on clusters of SMPs. Cluster Ss tasks are asynchronously created and assigned to the available resources with the support of the IBM APGAS run-time, which provides an efficient and portable communication layer based on one-sided communication. This short paper gives an overview of the Cluster Ss design on top of APGAS, as well as the conclusions of a productivity study;in this study, Cluster Ss was compared to the IBM X10 language, both in terms of programmability and performance. A technical report is available with the details.

关键词： parallel programming models High-performance computing Asynchronous execution Productivity

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