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pro vyhledávání: '"Breslow Alexander D"'
Autor:
Breslow Alexander D, Nuwan Jayasena
Publikováno v:
Proceedings of the VLDB Endowment. 11:1041-1055
Approximate set membership data structures (ASMDSs) are ubiquitous in computing. They trade a tunable, often small, error rate ( ϵ ) for large space savings. The canonical ASMDS is the Bloom filter, which supports lookups and insertions but not dele
Autor:
Breslow Alexander D, Laura Carrington, Dean M. Tullsen, Ananta Tiwari, Michael A. Laurenzano, Leo Porter, Allan Snavely
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:232-251
The current state of practice in supercomputer resource allocation places jobs from different users on disjoint nodes both in terms of time and space. While this approach largely guarantees that jobs from different users do not degrade one another's
Autor:
Lingjia Tang, Breslow Alexander D, Martin Schulz, Ananta Tiwari, Jason Mars, Laura Carrington
Publikováno v:
Scientific Programming, Vol 22, Iss 2, Pp 59-74 (2014)
Co-location, where multiple jobs share compute nodes in large-scale HPC systems, has been shown to increase aggregate throughput and energy efficiency by 10–20%. However, system operators disallow co-location due to fair-pricing concerns, i.e., a p
Autor:
Jason Mars, Lingjia Tang, Laura Carrington, Martin Schulz, Ananta Tiwari, Breslow Alexander D
Publikováno v:
SC
Co-location, where multiple jobs share compute nodes in large-scale HPC systems, has been shown to increase aggregate throughput and energy efficiency by 10 to 20%. However, system operators disallow co-location due to fair-pricing concerns, i.e., a
Publikováno v:
ISCA
Ensuring the quality of service (QoS) for latency-sensitive applications while allowing co-locations of multiple applications on servers is critical for improving server utilization and reducing cost in modern warehouse-scale computers (WSCs). Recent
Publikováno v:
SIGSPATIAL/GIS
The proliferation of lidar technology in remote sensing has resulted in extremely large, high resolution point clouds covering a wide variety of terrain. Constructing a grid digital elevation model (DEM) from these large data sets requires extensive