Programming Heterogeneous Hardware via Managed Runtime Systems

1. Introduction.- 2. Heterogeneous Hardware.- 3. Heterogeneous Programming Models.- 4. Managed Runtime Environments.- 5. Programming Heterogeneous Hardware via Managed Runtime Systems.- 6. Conclusions.

Juan Fumero is a Research Fellow at The University of Manchester working on Just In Time Compilers, GPU parallel computing, and GPU programming models for managed runtime systems. His research is focused on Heterogeneous Virtual Machines and language runtimes designed for accelerating applications using modern hardware, such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). Furthermore, he is an Intel Innovator and participates in two advisory boards for the oneAPI software ecosystem (for the oneAPI language SPEC and the oneAPI Hardware Group).

Athanasios Stratikopoulos is a Research Fellow at the University of Manchester with specialization on heterogeneous architectures and reconfigurable accelerators. He has authored more than 15 research articles in the field of hardware acceleration, system software and programming languages. Currently his work involves heterogeneous architectures ranging from low-power devices to high-end cloud deployments. His interests include computer architecture, high-performance computing, virtualization, and hardware acceleration.

Christos Kotselidis is an Associate Professor (Reader) at The University of Manchester and a Chief Engineer at Pierer Innovation. His research interests lie in the areas of managed runtime systems, CPU microarchitecture, compilers, memory management, and heterogeneous hardware acceleration. He is currently leading the TornadoVM project which enables hardware acceleration of Java applications along with several EU projects in the areas of green computing, cybersecurity, and edge-to-cloud system architectures.