Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Greg Bronevetsky"'
Autor:
Greg Bronevetsky, Marc Casas
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Although one of the key characteristics of High Performance Computing (HPC) infrastructures are their fast interconnecting networks, the increasingly large computational capacity of HPC nodes and the subsequent growth of data exchanges between them c
Publikováno v:
The Journal of Supercomputing. 72:1570-1596
The shrinking processor feature and operating voltages of processor circuits are making them increasingly vulnerable to soft faults, which calls for fault resilience techniques at both the software and hardware levels under the big data context. To a
Autor:
Rahman Jason P, Ran Xu, Saurabh Bagchi, Bowen Zhou, Greg Bronevetsky, Peter Bai, Subrata Mitra
Publikováno v:
Middleware
With the increase in the number cores in modern architectures, the need for co-locating multiple workloads has become crucial for improving the overall compute utilization. However, co-locating multiple workloads on the same server is often avoided t
Publikováno v:
The Journal of Supercomputing. 71:2963-2984
As HPC systems approach Exascale, their circuit features will shrink while their overall size will grow, both at a fixed power limit. These trends imply that soft faults in electronic circuits will become an increasingly significant problem for progr
Publikováno v:
Languages and Compilers for Parallel Computing ISBN: 9783319527086
LCPC
LCPC
Static analysis discovers provable true properties about behaviors of programs that are useful in optimization, debugging and verification. Sequential static analysis techniques fail to interpret the message passing semantics of the MPI and lack the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6de06c2af4b8121bf369d8048dff071e
https://doi.org/10.1007/978-3-319-52709-3_3
https://doi.org/10.1007/978-3-319-52709-3_3
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 25:2255-2263
High-performance computing (HPC) systems are growing more powerful by utilizing more components. As the system mean time before failure correspondingly drops, applications must checkpoint frequently to make progress. However, at scale, the cost of ch
Publikováno v:
2016 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Autor:
Marc Casas, Greg Bronevetsky
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
As the number of compute cores per chip continues to rise faster than the total amount of available memory, applications will become increasingly starved for memory storage capacity and bandwidth, making the problem of performance optimization even m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf51705aecf95f0c52bb1f1e24e372f8
https://hdl.handle.net/2117/86208
https://hdl.handle.net/2117/86208
Autor:
Ganesh Gopalakrishnan, William Gropp, Robert M. Kirby, Martin Schulz, Stephen F. Siegel, Ewing Lusk, Greg Bronevetsky, Rajeev Thakur, Bronis R. de Supinski
Publikováno v:
Communications of the ACM. 54:82-91
The goal is reliable parallel simulations, helping scientists understand nature, from how foams compress to how ribosomes construct proteins.
Publikováno v:
International Journal of Parallel Programming. 35:335-392
OpenMP [OpenMP Architecture Review Board. OpenMP application program interface, version 2.5] is an important API for shared memory programming, combining shared memory's potential for performance with a simple programming interface. Unfortunately, Op