Workshop on Architecture and Software for Emerging Applications (WASEA)

新兴应用架构和软件研讨会 (WASEA)

• 批准号: 1657976
• 负责人: Lawrence Rauchwerger
• 金额: $ 4.99万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-11-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657976&HistoricalAwards=false
• 关键词: Workshop; Architecture; Software; Emerging; Applications

High-valued domain applications in areas such as medicine,biology, physics, engineering, and social phenomena demandboth fast innovation and high execution speed and requireproductive development environments for domain experts whomay not be computer science experts. This workshop brings together leading researchers in architecture,compilers and programming languages, and domain experts to discussand debate potential approaches to accelerating progress in suchhigh-valued domains with an emphasis on developing strategies forexploiting machine learning, including strategies for acceleratinglearning algorithms through parallelism. The goal is to stimulatean in-depth discussion of the potential benefits of joint architectureand compiler approaches. The workshop will promote broadeningparticipation by including speakers from groups underrepresentedin computing and early career researchers.The workshop will produce a report providing recommendations on:joint compiler/language and architecture approaches, compiler/languagesupport enabling more aggressive hardware capabilities, architecturesupport enabling more effective compilers, and applications whosedevelopment process could benefit by these advances, The reportwill identify research opportunities in the interaction betweendevelopers, and architecture and language/compiler researchers toenable productive domain application development and highly efficientand scalable implementation on heterogeneous computing systems. Thereport will outline promising approaches and the research required forthese approaches to become usable by the domain application developers.

医学、生物学、物理学、工程学和社会现象等领域的高价值领域应用程序需要快速创新和高执行速度，并需要为可能不是计算机科学专家的领域专家提供高效的开发环境。该研讨会汇集了架构，编译器和编程语言的领先研究人员以及领域专家，讨论和辩论加速这些高价值领域进展的潜在方法，重点是开发利用机器学习的策略，包括通过并行加速学习算法的策略。 其目标是促进对联合架构和编译器方法的潜在好处的深入讨论。 研讨会将通过邀请计算机领域代表性不足的群体和早期职业研究人员的发言人来促进更广泛的参与。研讨会将产生一份报告，提供以下方面的建议：联合编译器/语言和体系结构的方法，编译器/语言的支持，使更积极的硬件能力，体系结构的支持，使更有效的编译器，和应用程序的开发过程中可以受益于这些进步，该报告确定的研究机会，在开发人员之间的互动，以及架构和语言/编译器研究人员，以实现高效的领域应用程序开发和异构计算系统上的高效和可伸缩的实现。 该报告将概述有前途的方法和研究所需的这些方法，成为可用的领域应用程序开发人员。