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Displaying 1-6 out of 6 total
Parallelism via Multithreaded and Multicore CPUs
Found in: Computer
By Angela C. Sodan, Jacob Machina, Arash Deshmeh, Kevin Macnaughton, Bryan Esbaugh
Issue Date:March 2010
pp. 24-32
Multicore and multithreaded CPUs have become the new approach to obtaining increases in CPU performance. Numeric applications mostly benefit from a large number of computationally powerful cores. Servers typically benefit more if chip circuitry is used for...
LOMARC: Lookahead Matchmaking for Multiresource Coscheduling on Hyperthreaded CPUs
Found in: IEEE Transactions on Parallel and Distributed Systems
By Angela C. Sodan, Lei Lan
Issue Date:November 2006
pp. 1360-1375
<p><b>Abstract</b>—Job scheduling typically focuses on the CPU with little work existing to include I/O or memory. Time-shared execution provides the chance to hide I/O and long-communication latencies though potentially creating a memory...
Group-Based Optimizaton for Parallel Job Scheduling with Scojo-PECT-O
Found in: High Performance Computing Systems and Applications, Annual International Symposium on
By Angela C. Sodan, Arun Kanavallil, Bryan Esbaugh
Issue Date:June 2008
pp. 102-109
Typical job scheduling for parallel machines is done on a one-by-one basis because of the dynamic arrival of jobs and the different priorities of the jobs. In the general case, this does not provide the optimum solution from a global point of view. Thus, w...
Gang Scheduling and Adaptive Resource Allocation to Mitigate Advance Reservation Impact
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Angela C. Sodan, Chintan Doshi, Lawrence Barsanti, Darren Taylor
Issue Date:May 2006
pp. 649-653
Simultaneous parallel computational grid jobs require reservation by the local job schedulers to ensure allocation of matching time slots at the different sites involved. However, reservations create road blocks in the local schedule, leading to only a sma...
Towards Asynchronous Metacomputing in MPI
Found in: High Performance Computing Systems and Applications, Annual International Symposium on
By Angela C. Sodan
Issue Date:June 2002
pp. 221
Metacomputing so far has been done mostly in more or less static configurations. However, applications with dynamic irregular behavior are increasing in significance and the computing platforms more often are time-sharing environments with varying system l...
ATOP-space and time adaptation for parallel and grid applications via flexible data partitioning
Found in: Proceedings of the 3rd workshop on Adaptive and reflective middleware
By Angela C. Sodan, Lin Han
Issue Date:October 2004
pp. 268-276
Adaptive resource allocation is becoming an important feature to run parallel and grid applications: to better share space and time according to current workload, to schedule around obstacles as from reservation, to deal with varying system load under time...