id: 05466995
dt: j
an: 05466995
au: Itzkovitz, Ayal; Schuster, Assaf; Zeev Ben Mordehai, Oren
ti: Toward integration of data race detection in DSM systems.
so: J. Parallel Distrib. Comput. 59, No. 2, 180-203 (1999).
py: 1999
pu: Elsevier Science (Academic Press), San Diego, CA
la: EN
cc: C.2.4 F.2.2
ut: distributed shared memory; parallel computation; data race detection;
    debugging tools
ci: 
li: doi:10.1006/jpdc.1999.1574
ab: Summary: We present a distributed algorithm, called DJIT, for detecting
    data races in DSM systems. DJIT is designed as a DSM add-on, detecting
    a race condition as soon as one is created. It instantly displays to
    the user the precise place in the program where the race occurred.
    There are no false detections, and no data races are missed. We have
    implemented JIT on top of MILLIPAGE — a fine granularity, page-based
    DSM system. Our implementation makes novel use of the operating system
    protection mechanisms. In particular, we propose a protection cache,
    which can be used for local logging of accesses to variables. As a
    result, our implementation does not increase the message complexity of
    the execution, piggy-backing all its communication activity on top of
    the DSM-related messages. The performance figures show that our data
    race detection mechanism has only a minor influence on performance. The
    measured overheads, averaging only few percent, are two orders of
    magnitude smaller than those achieved in previous work. Thus, our
    technique makes the integration of on-the-fly data race detection
    during the regular DSM execution feasible for the first time.
rv: