Advancements in GPGPU computing
Jawwad Ahmed Shamsi · 2017
Summary form only given. Graphic Processing Units have emerged as a popular platform for many computationally expensive tasks. The availability of hundreds to thousands of cores embedded together using shared memory, provides enhanced speed for many parallel programs. Motivated by this inherent parallelism in GPUs, General Purpose Graphic Processing Unit (GPGPU) computing has been adopted in many applications. These include Data Analytics, Robotics, Health, Driverless cars, DNA sequencing, High speed network processing, and Image Recognition. This talk will provide an overview of increased adaptation of GPGPU computing in many such applications. The talk will also enlighten open research areas in these applications.