ARBALEST: Dynamic Detection of Data Mapping Issues in Heterogeneous OpenMP Applications

Yu, Lechen; Protze, Joachim; Hernández, Óscar; Sarkar, Vivek

doi:10.1109/ipdps49936.2021.00055

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…• ARBALEST [143] is a dynamic analyzer that can pinpoint incorrect data mappings that result in concurrency bugs or memory issues at runtime;…”

Section: Wbs 23211 Building Tools To Detect and Debug Bugs And Perfor...mentioning

confidence: 99%

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ECP Software Technology Capability Assessment Report V3.0

Heroux

McInnes

et al. 2022

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The Exascale Computing Project (ECP) Software Technology (ST) focus area is responsible for (1) developing critical software capabilities that will enable the successful execution of ECP applications and (2) providing key components of a productive and sustainable exascale computing ecosystem that will position the US Department of Energy (DOE) and the broader high-performance computing (HPC) community with a firm foundation for future extreme-scale computing capabilities.This ECP ST Capability Assessment Report (CAR) provides an overview and assessment of current ECP ST capabilities and activities, giving stakeholders and the broader HPC community information that can be used to assess ECP ST progress and plan their own efforts accordingly. ECP ST leaders commit to updating this document on regular basis (every 6-12 months). Highlights from this version of the report are presented here.This version of the CAR contains the following updates relative to the previous revision.• This report highlights the progress with the Extreme-scale Scientific Software Stack (E4S) efforts.In particular, this report discusses how E4S continues to gain traction as a first-class entity in the HPC ecosystem, enabling new conversations with users, facilities, vendors, other US agencies, and international partners.• The several-page summaries of each ECP Level 4 project were updated to reflect recent progress and next steps (Section 4). Of particular note are the experiences of our teams on early-access systems for Frontier.• The E4S is described further. E4S is now updated via quarterly releases. E4S is the primary integration and delivery vehicle for ECP ST capabilities (Section 2.1.1).• The ECP ST software development kit (SDK) effort further refined its groupings (Section 2.1.2).The ECP ST focus area represents the key bridge between exascale systems and the scientists developing applications that will run on those platforms. ECP ST efforts contribute to approximately 70 software products (Section 2.1.3) in six technical areas (Table 1). Since publishing the previous revision of the CAR, the team has continued to evolve the product dictionary of official product names, which enables more rigorous mapping of ECP ST deliverables to stakeholders (Section 2.1.4).Programming Models & Runtimes: In addition to developing key enhancements to MPI and OpenMP for scalable systems with accelerated node architectures, the team is working on performance portability layers (Kokkos and RAJA) and participating in OpenMP and OpenACC software design and development that will enable applications to write much of their source code without needing to provide vendor-specific implementations for each exascale system. One legacy of ECP ST efforts is anticipated to be a software stack that supports Intel and AMD accelerators in addition to NVIDIA's accelerators (Section 4.1).Development Tools: The team is enhancing existing widely used compilers (e.g., LLVM) and performance tools for next-generation platforms. Compilers are critical for heterogeneous archi...

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“…• ARBALEST [143] is a dynamic analyzer that can pinpoint incorrect data mappings that result in concurrency bugs or memory issues at runtime;…”

Section: Wbs 23211 Building Tools To Detect and Debug Bugs And Perfor...mentioning

confidence: 99%

“…ARBALEST also utilizes the happens-before relations maintained by Archer to detect conflicting memory accesses when the runtime conducts memory transfer for a data mapping. According to the evaluation in [143], ARBALEST can accurately identify all incorrect data mappings with acceptable time and memory overhead.…”

Section: Solution Strategymentioning

confidence: 99%

ECP Software Technology Capability Assessment Report V3.0

Heroux

McInnes

et al. 2022

View full text Add to dashboard Cite

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Visualizing Correctness Issues in OpenMP Programs

Jin,

Tao,

et al. 2024

Lecture Notes in Computer Science

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OpenMP offloading data transfer optimization for DCUs

Guo

Zhang

et al. 2023

J Supercomput

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OpenMP supports the use of target offloading compile guidance instructions to invoke heterogeneous-platform accelerators to compute core code segments; however, unreasonable use of target offloading instructions can make the data transfer process time-consuming. The problem of unused array transfer and unused data segment transfer arises when the amount of data transferred from the host side to the device side exceeds the amount of data required for the core computation on the device side. For the transmission of unused arrays, the use of the transmitted arrays is guided by adding a filter to eliminate the transmission of redundant data; for the transmission of unused data segments, the use of arrays is quickly determined on the basis of the filter, and valid data are transmitted by optimizing Clang’s code generation strategy after obtaining the lengths of the data segments in core computation. Experiments are performed using the Polybench benchmark; the optimized speedup for unused array transfer reaches 7%, and the optimized speedup for unused data segment transfer reaches 10%. The experimental results show that data transfer optimization for target offloading characteristics can help improve program performance.

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ARBALEST: Dynamic Detection of Data Mapping Issues in Heterogeneous OpenMP Applications

Cited by 3 publications

References 24 publications

ECP Software Technology Capability Assessment Report V3.0

ECP Software Technology Capability Assessment Report V3.0

Visualizing Correctness Issues in OpenMP Programs

OpenMP offloading data transfer optimization for DCUs

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