2021-10-28, 12:15–13:00, RoomC
Large-scale streaming and big data applications requiring large amounts of memory have made the OpenCAPI technology and FPGA an appealing and cost-effective solution. Large research labs to data analytic startups are increasingly utilizing the technology to accelerate their applications creating new jobs and research opportunities. In this presentation we will discuss about the course that we designed to teach high performance analysis of big data leveraging the FPGA technology together with OpenCAPI.
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The course is designed in collaboration between UW-Platteville, TU-Delft and Onstitute, an upcoming education platform to spread IBM technologies for data analysis. The course covers the OpenCAPI architecture, its application interfaces, and use-cases with plenty of lab examples and hands-on experiences. Its main focus is to enable application programmers (especially the big data analyst and engineers) to embrace FPGA acceleration with CAPI’s technology benefits to analyze large data. The lab assignments of the course are developed using Fletcher, a hardware-agnostic interface-generator together with Apache Arrow to simulate the development environment on any system including laptop/pc/etc. The course students will also include hands-on experiences on two cutting edge projects such as, high throughput data acquisition from x-ray detectors, big data genomic acceleration.
Arghya Kusum Das is an Assistant Professor of Computer Science at the University of Wisconsin - Platteville. He earned his Ph.D. in Computer Science with an emphasis in Scientific Big data Analysis from Louisiana State University, USA. Dr. Das's research focuses on the scalable and efficient analysis of scientific big data (e.g., genomics, and healthcare data). It includes both development of large-scale software frameworks and proposing new hardware architecture for efficient data analysis. His research also focuses on the secured transfer of big data over the Internet using Blockchain and other decentralized technologies. Das is currently working towards developing an innovative, online platform, and curriculums to spread quality education in the field of big data analysis, AI, HPC and related technologie