Towards Practical Heterogeneous Virtual Machines
Heterogeneous computing emerged as a means to achieve higher performance and energy efficiency. However, this trend has been accompanied by changes in software development norms that do not necessarily favour programmers. A prime example is the two most popular heterogeneous programming languages, CUDA and OpenCL, which expose several low-level features to the API making them difficult to use by non-expert users.
Instead of using low-level programming languages, developers tend to prefer more high-level, object-oriented languages typically executed on managed runtime environments. Although many programmers might expect that such languages would have already been adapted for execution on heterogeneous hardware, the reality is that their support is either very limited or totally absent. This paper highlights the main reasons and complexities of enabling heterogeneous managed runtime systems and proposes a number of directions to address those challenges.
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|Towards Practical Heterogeneous Virtual Machines|
James Clarkson The University of Manchester, Juan Fumero The University of Manchester, Michalis Papadimitriou The University of Manchester, Maria Xekalaki The University of Manchester, Christos Kotselidis The University of ManchesterFile Attached
|Easy::Jit: Compiler assisted library to enable Just-In-Time compilation in C++ codes|
|On the Future of Research VMs: A Hardware/Software Perspective|
Foivos S. Zakkak , Andrew Nisbet The University of Manchester, John Mawer The University of Manchester, Tim Hartley The University of Manchester, Nikos Foutris The University of Manchester, Orion Papadakis The University of Manchester, Andreas Andronikakis The University of Manchester, Iain Apreotesei The University of Manchester, Mikel Luján University of Manchester, Christos Kotselidis The University of Manchester