LAST is an integrated computer-aided design tool for large-scale channel-based asynchronous architectures, providing a unifying high-level synthesis framework for multiple micro-architectural and circuit design styles. LAST integrates the analysis and optimization modules which explore a wide design spaces and chooses the best design based on given constraints and/or objective functions. LAST also includes a simulation module to model and simulate the design in Verilogusing Send/Receive handshaking.
Group Members
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Prof. Peter A. Beerel (This email address is being protected from spambots. You need JavaScript enabled to view it.)
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Sunan Tugsinavisut
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Nam Hoon Kim
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Arash Saifhashemi
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Roger Su
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Prof. Steven M. Nowick
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Peggy B. McGee
Goals
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To synthesize and optimize channel-based asynchronous architectures from a high-level specification.
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To offer a variety of design spaces by exploring, analyzing and optimizing the design with respect to given constraints and/or objective functions.
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To construct a synthesis framework for which new optimizations can be easily integrated.
Approaches
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A system architecture is modeled by a high-level specification (Marked graphs).
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Analysis and optimizations are performed iteratively to explore and analyze the design choices.
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The potential set of optimization to explore include
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After synthesis, the design is translated into VerilogCSP, where it can be simulated and tested
Current Projects
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Scheduling and binding problem using heuristic approaches.
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List Scheduling - Iterating over time steps, dynamically compute the slack of each unscheduled operation, greedily scheduling the operations with the least slack.
Downloads
Publications
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Sunan Tugsinavisut, Roger Su, Peter A. Beerel: High-level Synthesis for Highly Concurrent Hardware Systems. ACSD 2006: 79-90
Acknowledgements
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LAST is part of the CaSCADE tool package, a joint project between USC and Columbia University. The CaSCADE tool package release was made possible by generous support from NSF ITR Award No. NSF-CCR-0086036.
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The development of the individual tools in CaSCADE was supported in part by the above NSF grant, and by some additional funding (see each downloaded tool individually for further information).
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