This paper addresses the fundamental question of how modern Big Data frameworks can dynamically and transparently exploit heterogeneous hardware accelerators.

Jun 26, 2020 · This paper addresses the fundamental question of how modern Big Data frameworks can dynamically and transparently exploit heterogeneous ...

This paper addresses the fundamental question of how modern. Big Data frameworks can dynamically and transparently exploit heterogeneous hardware ...

PDF | This paper addresses the fundamental question of how modern Big Data frameworks can dynamically and transparently exploit heterogeneous hardware.

This paper addresses the fundamental question of how modern. Big Data frameworks can dynamically and transparently exploit heterogeneous hardware ...

This paper addresses the fundamental question of how modern Big Data frameworks can dynamically and transparently exploit heterogeneous hardware accelerators.

This paper addresses the fundamental question of how modern Big Data frameworks can dynamically and transparently exploit heterogeneous hardware accelerators.

Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors. Christos Kotselidis, Ioannis Komnios, Orestis ...

Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors · Heterogeneous Computing Architectures: Challenges ...

Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors. Published in DATE, 2020. Towards Prototyping and ...