TAIPEI, TAIWAN, March. 31, 2020 – In the era of mega data, accelerating data processing becomes a very crucial issue. With the rising needs of edge computing, the various applications for different types of data become much more complicated. It will result in accelerating data processing face all sorts of bottlenecks, such as insufficient memory bandwidth or incapability of computation and etc.
In the initial stage of the company, WASAI has been noticing that the advantages of FPGA (Field Programmable Gate Array) can solve the problems of data computing. We think that FPGA is a practicable tool for high performance computing. The reasons are as follows:
1. FPGA has a strong flexibility: this characteristic means FPGA can respond to and match with different types of data for acceleration; it provides customized designs for matching with different needs.
2. FPGA is programmable: while executing different applications, inner designs can be instantly overwritten for accelerating different applications. This method is the best optimization for high performance computing in order to solve the problems resulting from the high complexity of data.
WASAI provides the data centers an alternative acceleration solution different from the traditional solution of CPU or GPU—through the optimized algorithm of mega data computation and FPGA programmable digital circuit design. We are glad to see a larger and more completed ecosystem for the data centers: that is going to bring people a more convenient living.
#BigData #FPGAComputing #HPC #Database
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.