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7 results for “OpenMP”
Companion for "OpenMP and StarPU Abreast: the Impact of Runtime in Task-Based Block QR Factorization Performance"
<p>This is the companion website for the paper entitled *OpenMP and StarPU Abreast: the Impact of Runtime in Task-Based Block QR Factorization Performance* by Marcelo Cogo Miletto and Lucas Mello Schnorr that has been submited to Simpósio de Sistemas<br> Computacionais de Alto Desempenho (WSCAD) - 2019. This repository provides all the data and the code snippets used to generate the figures that are discussed inside the article, in a way that you can use them to reproduce our steps.</p>
Data, scripts, and plots for the paper "A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies"
<p>Data, scripts, and plots for the paper "A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies"</p>
Dataset for: "Reducing OpenMP to FPGA Round-trip Times with Predictive Modelling"
<p>This archive contains the samples generated for the conference paper "Reducing OpenMP to FPGA Round-trip Times with Predictive Modelling" (In Proc. 18th Intl. Workshop on OpenMP (IWOMP), Chattanooga, TN, Sept. 2022, Springer LNCS vol. 13527, pp. 94–108, <a href="https://doi.org/10.1007/978-3-031-15922-0_7">https://doi.org/10.1007/978-3-031-15922-0_7</a>).</p> <p><strong>Abstract:</strong> Recent works aimed at expanding the target offloading capabilities of OpenMP to FPGA platforms. While enabling the easy construction of heterogeneous systems, the approach has to face a major hurdle: by blurring the line between software and hardware development, it forces software developers to consider hardware limitations. This can be difficult through the abstractions that OpenMP introduces over the generated hardware. The high level synthesis tools used by OpenMP compilers to generate hardware already offer predictions on hardware usage. Their value for OpenMP offloading however is questionable. This paper is based on the data mining we conducted on thousands of kernel variations. It demonstrates and proofs under which circumstances these predictions can be trusted in the context of OpenMP to FPGA offloading and concludes by showing how to derive runtime performance predictions from them. The model we present can be used without experience in hardware development and quickly predicts runtime on our benchmarks with an average Pearson correlation of 0.897. This knowledge allows developers to make fast, informed design decisions.</p>
Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes
<p>We identify and show how to overcome an OpenMP bottleneck in the administration of GPU memory. It arises for a wave equation solver on dynamically adaptive block-structured Cartesian meshes, which keeps all CPU threads busy and allows all of them to offload sets of patches to the GPU. Our studies show that multithreaded, concurrent, non-deterministic access to the GPU leads to performance breakdowns, since the GPU memory bookkeeping as offered through OpenMP's map clause, i.e., the allocation and freeing, becomes another runtime challenge besides expensive data transfer and actual computation. We, therefore, propose to retain the memory management responsibility on the host: A caching mechanism acquires memory on the accelerator for all CPU threads, keeps hold of this memory and hands it out to the offloading threads upon demand. We show that this user-managed, CPU-based memory administration helps us to overcome the GPU memory bookkeeping bottleneck and speeds up the time-to-solution of Finite Volume kernels by more than an order of magnitude.</p>
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP implementations
<p>Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High-Performance Computers (HPC), including exascale systems. The OpenMP, a directive-based parallel programming model, allows developers to include directives to existing C, C++, or Fortran code to allow node level parallelism without compromising performance. This paper describes our CI/CD efforts to provide easy evaluation of the support of OpenMP across different compilers using existing testsuites and benchmark suites on HPC platforms. Our main contributions include (1) the set of a Continuous Integration (CI) and Continuous Development (CD) workflow that captures bugs and provides faster feedback to compiler developers, (2) an evaluation of OpenMP (offloading) implementations supported by AMD, HPE, GNU, LLVM, and Intel, and (3) evaluation of the quality of compilers across different heterogeneous HPC platforms.<br>Through the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, AMD and Intel.</p>
Automated Load Balancing in OpenMP
<p>Full spectrum of results of "Automated Load Balancing in OpenMP". Performance of various scientific applications with various OpenMP scheduling algorithms and chunk parameter values. Evaluation of the performance of the newly introduced automatic load balancing methods in AUTO4OMP on the performance of scientific applications. AUTO4OMP automatically selects a suitable scheduling algorithm and a chunk parameter value during execution for OpenMP loops. </p>
Data, scripts, and plots for the paper ICCP "Learning to Select Scheduling Algorithm in OpenMP"
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.