Seminars & Events

Mathematics and Computer Science Division
"Toward A Portable Dynamic Runtime Model and Software Environment"

DATE: August 18, 2011 to August 18, 2011
TIME: 10:30 AM - 11:30 AM
SPEAKER: Guang Gao, Endowed Distinguished Professor, Electrical and Computer Engineering, University of Delaware
LOCATION: Building 240, TCS Conference Center, 1404 & 1405, Argonne National Laboratory

Description:
The microprocessor chip technology revolution has moved rapidly to large-scale on-chip (hybrid) multiprocessing and parallel computing at an unprecedented scale and incorporation of different architecture types in the same system. Growing core-count and heterogeneity will produce increasingly fragmented resource pools in large-scale systems. Achieving efficiency, reliability and high performance will increasingly require flexible, dynamic, intelligent runtime resource management and corresponding activity scheduling for applications not present in existing software stacks. The needs far exceed what has existed in traditional runtimes support from current system vendors – and there is a clear gap in the industry-strength system software stack.

In this talk, we present our work toward a portable dynamic adaptive runtime model and software system. We demonstrate that the role of runtime systems, in contrast to the traditional OS, is to efficiently implement and support the target program execution and abstract machine models. In particular, our work is focused on Asynchronous, fine-grain, event-driven execution models with it deep root in dataflow-like models with major extensions. The work at Delaware, jointly performed between University Delaware and its spinoff (ET. International Inc., found in 2000), are based on practical experience of developing and deployment of end-to-end system software solutions (from bare-metal OS to parallel programming support) on four types of many-core chips: the IBM Cyclops chips/systems, the IBM CELL chip, the Intel SCC Chip and Adaptiva 16-core embedded low power (2W) many-core chip. The findings learned will be summarized through the initial experience with ETI SWARM runtime software under the Intel-led DARPA/UHPC extreme-scale architecture/system.

Professor Guang Gao is a ACM Fellow and IEEE Fellow, Endowed Distinguished Professor, Dept. of Electrical and Computer Engineering, University of Delaware

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