A set of level 3 basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
Designing programs that check their work
Journal of the ACM (JACM)
Using PLAPACK: parallel linear algebra package
Using PLAPACK: parallel linear algebra package
A design analysis of a hybrid technology multithreaded architecture for petaflops scale computation3
ICS '99 Proceedings of the 13th international conference on Supercomputing
Microservers: a new memory semantics for massively parallel computing
ICS '99 Proceedings of the 13th international conference on Supercomputing
Mapping irregular applications to DIVA, a PIM-based data-intensive architecture
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
MPI: The Complete Reference
Fault-Tolerant High-Performance Matrix Multiplication: Theory and Practice
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Combined DRAM and logic chip for massively parallel systems
ARVLSI '95 Proceedings of the 16th Conference on Advanced Research in VLSI (ARVLSI'95)
Pursuing a Petaflop: Point Designs for 100 TF Computers Using PIM Technologies
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
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Future-generation space missions across the solar system to the planets, moons, asteroids, and comets may someday incorporate supercomputers both to expand the range of missions being conducted and to significantly reduce their cost. By performing science computation directly on the spacecraft itself, the amount of data required to be downlinked may be reduced by many orders of magnitude, thus greatly reducing the mass of the resources needed for communication while increasing the quality and quantity of the science achieved. By performing the mission planning in real time directly on the spacecraft, complex and highly responsive missions can be conducted out of range of direct human intervention, and the cost of mission management can be reduced. Through highly replicated computing structures, continued operation can be maintained in the presence of faults by means of graceful degradation. Two classes of systems, reflecting very different strategies of computer system architecture, are actively being pursued by the NASA Jet Propulsion Laboratory (JPL) to take advantage of the opportunity of embedded high performance computing on spacecraft for deep-space missions. Commodity off-the-shelf (COTS) clusters may permit the direct application of commercial computing hardware in loosely coupled ensembles to benefit from the enormous investment of industry in mass-market components. New processor-in-memory (PIM) architectures combine multiple nodes on a single chip of processor-memory pairs exposing the full memory bandwidth. This paper examines the driving issues motivating the use of supercomputing for future deep-space missions and describes two active research projects at NASA JPL that are pursuing both the COTS and PIM strategies for next-generation spaceborne computing.