Portland State University. Department of Electrical and Computer Engineering
Date of Award
Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering
Electrical and Computer Engineering
1 online resource (xiv, 405 pages)
Many modern computer systems are distributed over space. Well-known examples are the Internet of Things and IBM's TrueNorth for deep learning applications. At the Asynchronous Research Center (ARC) at Portland State University we build distributed hard- ware systems using self-timed computation and delay-insensitive communication. Where appropriate, self-timed hardware operations can reduce average and peak power, energy, latency, and electromagnetic interference. Alternatively, self-timed operations can increase throughput, tolerance to delay variations, scalability, and manufacturability.
The design of complex hardware systems requires design automation and support for test, debug, and product characterization.
My PhD thesis focuses on design compilation and test support for dataflow applications. Both parts are necessary to go from self-timed circuits to large-scale hardware systems.
As part of my research in design compilation, I have extended the ARCwelder compiler designed by Willem Mallon (previously with NXP and Philips Handshake Solutions). The resulting ARCwelder compiler can support multiple self-timed circuit families.
The key to testing distributed systems, including self-timed systems, is to identify the actions in the systems. In distributed systems there is no such thing as a global action. To test, debug, characterize, and even initialize distributed systems, it is necessary to control the local actions - individually! The designs that we develop at the ARC separate the actions from the states ab initio.
As part of my research in test and debug, I implemented a special circuit to control actions, called MrGO. I also implemented a scan and JTAG test interface to take control over each individual and local action, each individual and local communication state, and any subset of data-related state elements one might wish to control or observe. My test implementations have been built into two silicon test experiments, called Weaver and Anvil, and were used successfully for testing, debug, and performance characterizations.
Mettala Gilla, Swetha, "Silicon Compilation and Test for Dataflow Implementations in GasP and Click" (2018). Dissertations and Theses. Paper 4237.
Available for download on Thursday, January 17, 2019