Accelerating Data Analytics on Integrated GPU Platforms via Runtime Specialization

• Published in: International journal of parallel programming Vol. 46; no. 2; pp. 336 - 375
• Main Authors: Farooqui, Naila, Roy, Indrajit, Chen, Yuan, Talwar, Vanish, Barik, Rajkishore, Lewis, Brian, Shpeisman, Tatiana, Schwan, Karsten
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2018; Springer Nature B.V
• Subjects: Affinity; Analytics; Computer Science; Platforms; Processor Architectures; Resource management; Resource scheduling; Run time (computers); Software Engineering/Programming and Operating Systems; System effectiveness; Theory of Computation; Scheduling; Resource management; GPU; Dynamic instrumentation

Integrated GPU systems are a cost-effective and energy-efficient option for accelerating data-intensive applications. While these platforms have reduced overhead of offloading computation to the GPU and potential for fine-grained resource scheduling, there remain several open challenges: (1) the dis...