Syracuse University Planning Grant: I/UCRC for Alternative Sustainable and Intelligent Computing

该项目将帮助规划替代可持续和智能计算(ASIC)领域潜在的NSF I/UCRC，以探索用于认知应用的新兴计算平台的研究前沿，包括语音识别、人脸检测和选举洞察等。I/UCRC中心的规划将在统一的旗帜下进行，学术界、工业界和政府利益攸关方将提供意见。因此，该中心将成为一个跨学科研究和交流的国家平台，负责研究与国家安全和智能生活等涉及国家利益的各种主题相关的先进计算平台，着眼于国家的商业化和经济发展。它将为设计新的计算图表铺平道路，以应对白宫开发转型计算能力的巨大挑战。在认知应用程序的快速增长和下划线技术最近的重大开发进展的推动下，该中心将专注于为这些应用程序设计替代计算平台，这些应用程序通常很难在传统的冯·诺伊曼架构上高效执行。业界对专为这些应用指定的革命性计算平台的需求很大，计划中的学术界-行业联盟处于有利地位，可以通过现实世界的应用来满足这种苛刻的需求。因此，ASIC的建立将加速工业领域新计算图表的发展，并加快技术从研究发现到实用解决方案的转化。拟建中心的锡拉丘兹大学(SU)网站将专注于非传统架构的硬件软件协同设计和算法优化，重点是在智能监控、社交媒体挖掘以及基于语义的信息检索和推荐中的应用。实施的研究项目如果成功，将通过引入替代计算平台使计算机和IT行业受益，这些平台在短期内很好地补充了基于冯·诺伊曼架构构建的传统系统，并在长期内将替代可持续发展和智能计算定位为同等重要的地位。所获得的知识和专业知识将有效地支持认知应用的可预见的蓬勃发展及其对硬件和软件支持的迫切需求。中心PIS和行业合作伙伴的人才和专业知识将有效整合，以提升中心成员的能力，加快技术转移进程。计划中的ASIC的关键变革方面是，该项目的成功将在无缝集成非von Neumann和von Neumann架构方面取得巨大进步，以用于未来的计算。建成后，该规划项目将在业界和政府成员的大力支持下，为一期项目准备坚实的全面中心提案。将通过出版物、研讨会、教程和讲习班以及工业和军事课程、社交媒体和技术转让活动广泛传播项目成果，从而实现项目的更广泛影响。学生将获得宝贵的行业相关应用研究经验和与行业代表建立联系的机会，以便为最终就业利用这些经验。

This project will help plan for a potential NSF I/UCRC in Alternative Sustainable and Intelligent Computing (ASIC), in order to explore research frontiers in emerging computing platforms for cognitive applications, including speech recognition, face detection and election insights, etc. The planning of the I/UCRC center will be carried out under a unified banner, with inputs from academia, industry, and government stakeholders. As a result, the center will serve as a national platform for interdisciplinary research and communication, charged with investigating advanced computing platforms relevant to various topics of national interests such as national security and smart living, with an eye toward commercialization and economic development for the nation. It will pave the way for designing new computing diagram to address the White House Grand Challenge of developing transformational computing capabilities.Motivated by the fast growth of cognitive applications and the recent significant development progress of underlined technologies, the center will focus on designing alternative computing platforms for these applications, which is generally difficult to be efficiently executed on conventional von Neumann architecture. Industry is in great demand for a revolutionary computing platform designated to these applications and the planned academia-industry consortium is well positioned to meet such demanding needs with real-world applications. The establishment of ASIC, hence, will accelerate the development of the new computing diagram in industry sectors and expedite technology transfer from research discoveries to practical solutions.The Syracuse University (SU) Site of the proposed Center will focus on hardware software co-design and algorithm optimization for unconventional architectures with a focus of applications in smart surveillance, social media mining, and semantic based information retrieval and recommendation. The research projects performed, if succeed, will benefit computer and IT industries by introducing alternative computing platforms that well complement the conventional systems built on von Neumann architecture in short term, and position alternative sustainability and intelligent computing equivalently important in long term. The obtained knowledge and expertise will effectively backup the predictable booming of cognitive applications and their urgent demands for hardware and software supports. The talents and expertise of center PIs and the industry partners will be effectively integrated to enhance the competence of the center members and accelerate technology transfer process. The key transformative aspect of the planned ASIC is that, the success of the project will make great advances in seamlessly integrating non von Neumann vs. von Neumann architectures for future computing. Upon completion, this planning project will prepare a solid full center proposal for Phase I with strong supports from industry and government members. Broader impacts of the project will be reached by wide dissemination of the project outcomes via publications, seminars, tutorials and workshops, as well as industrial and military courses, social media and technology transfer activities. Students will receive invaluable experience in industry relevant applied research and networking opportunities with industry representatives in order to capitalize these experiences for their eventual employment.