Transcript Precision Timed Architectures for Timing Predictability
A Precision Timed Architecture for Timing Predictability and Repeatability Hiren D. Patel Isaac Liu Ben Lickly Edward A. Lee http://chess.eecs.berkeley.edu/pret/ Vision
Most abstractions in computing hide timing properties of software. As a result, computer architects, and compiler and language designers use clever techniques to improve the average-case performance. This, however, is at the expense of predictable and repeatable timing. We find these techniques to be problematic for real-time embedded computing because they result in unpredictable and non-repeatable behavior, and brittle systems.
, and logic for replaying instructions during pauses in execution.
By employing a
, we remove data hazards and dependencies in the pipeline.
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Krste Asanovic, CS252, Graduate Computer Architecture
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ISA & C Extensions
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Remove Data Dependencies!!
providing control over the execution time of a sequence of instructions.
software-managed caches – scratchpad memories.
Our approach treats time as a first-class property of embedded computing. In doing so, we prototype a precision timed (
) embedded processor architecture that introduces temporal semantics at the instruction-set architecture, and one that carefully selects architectural optimization techniques to deliver predictable performance enhancements. We believe that timing predictability and repeatability are not at odds with performance .
February 12, 2009
to arbitrate access to main memory in a time-triggered fashion.
On time 90 cycles until thread0 completes On time On time On time On time thread0 thread1 thread2 thread3 thread4 thread5 thread0 Open-source compiler frameworks
Clang and LLVM
for code translation, code generation, and analysis.
1. Ben Lickly, Isaac Liu, Sungjun Kim, Hiren D. Patel, Stephen A. Edwards and Edward A. Lee, Predictable Programming on a Precision Timed Architecture , in proceedings of International Conference on Compilers, Architecture, and Synthesis from Embedded Systems (CASES), October, 2008.
2. Hiren D. Patel, Ben Lickly, Bas Burgers and Edward A. Lee, A Timing Requirements Aware Scratchpad Memory Allocation Scheme for a Precision Timed Architecture , Technical Report No. UCB/EECS-2008-115, September, 2008.
3. Shanna-Shaye Forbes, Hugo A. Andrade, Hiren D. Patel and Edward A. Lee. An Automated Mapping of Timed Functional Specification to A Precision Timed Architecture , In proceedings of the 12-th IEEE International Symposium on Distributed Simulation and Real Time Applications, (DSRT), October, 2008.
This work was supported in part by the Center for Hybrid and Embedded Software Systems (CHESS) at UC Berkeley, which receives support from the National Science Foundation (NSF awards #0720882 (CSR-EHS:PRET) and #0720841 (CSR-CPS)), the U. S. Army Research Office (ARO#W911NF-07-2-0019), the U. S. Air Force Office of Scientific Research (MURI #FA9550-06-0312), the Air Force Research Lab (AFRL), the State of California Micro Program, and the following companies: Agilent, Bosch, HSBC, Lockheed-Martin, National Instruments, and Toyota.
Center for Hybrid and Embedded Software Systems