Concurrent Event Handling through Multithreading

  • Authors:

  • Stephen W. Keckler;Andrew Chang;Whay S. Lee;Sandeep Chatterjee;William J. Dally

  • Affiliations:

  • Univ. of Texas at Austin, Austin;Stanford Univ., Stanford, CA;Sun Microsystems, Inc., Newark, CA;Massachusetts Institute of Technology, Cambridge;Stanford Univ., Stanford, CA

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 1999

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Abstract

Exceptions have traditionally been used to handle infrequently occurring and unpredictable events during normal program execution. Current trends in microprocessor and operating systems design continue to increase the cost of event handling. Because of the deep pipelines and wide out-of-order superscalar architectures of contemporary microprocessors, an event may need to nullify a large number of in-flight instructions. Large register files require existing software systems to save and restore a substantial amount of process state before executing an exception handler. At the same time, processors are executing in environments that supply higher event frequencies and demand higher performance. We have developed an alternative architecture, Concurrent Event Handling, that incorporates multithreading into event handling architectures. Instead of handling the event in the faulting thread's architectural and pipeline registers, the fault handler is forked into its own thread slot and executes concurrently with the faulting thread. Microbenchmark programs show a factor of 3 speedup for concurrent event handling over a traditional architecture on code that takes frequent exceptions. We also demonstrate substantial speedups on two event-based applications. Concurrent Event Handling is implemented in the MIT Multi-ALU Processor (MAP) chip.