TAIPEI, TAIWAN, MAY. 29, 2020 –WASAI is delighted to announce that we are going to deliver a speech in Spark+AI Summit 2020 on June 22-26. Spark+AI Summit is held by Databricks, a company founded by original creators of Apache Spark open source software. Since first held in 2013, Spark+AI Summit gathering engineers, scientists, data analysts and senior managers from all over the world shared the innovative open source knowledge together to explore the latest advancement of data science, machine learning and Artificial Intelligence.
Calvin Hung, CEO of WASAI Technology, and Weiting Chen, the senior software engineer of Intel Corp., focusing on the optimized big data application programing, are going to talk about how to use FPGA (Field Programmable Gate Array) coordinating Spark framework, assisting Spark SQL Workloads to improve the CPU utilization and offload heavy jobs to FPGA. In this way, it will bring a better execution performance and a lower power consumption rate.
For the influence of coronavirus disease, this year Spark+AI Summit changes the format as an "open-source" virtual conference extended five days; i.e, a free online conference. Do you want to know what kind of high performance experience FPGA can bring to you regarding the big data analytics? Welcome to join our speech online. See you in the cloud!
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・Find out more information®ister the event@ Spark+AI Summit 2020
・WASAI session@ agenda
・Speakers: CEO, CTO and Co-founder of WASAI Technology- Calvin Hung
Senior Software Engineer of Intel- Weiting Chen
・Time: 6/24 (Wed.), 03:40 PM (PDT)
6/25 (Thu.), 06:40 AM (GMT+8)
About WASAI Technology Inc.
WASAI Technology's mission is to deliver acceleration technologies of High-Performance Data Analysis (HPDA) in future data centers for targeted vertical applications with massive volumes and high velocities of scientific data. To strengthen and advance scientific discovery and technological research via big data-intensive acceleration in high-performance computing, WASAI Technology aims to improve commercialization and commoditization of scientific and technological applications.
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