Výsledky vyhledávání - "Breslow, Alexander"

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

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https://doi.org/10.14778/3213880.3213884

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Software Management of Memory Subsystem Contention on Multicore Systems

Autor: Breslow, Alexander

Publikováno v: Breslow, Alexander. (2016). Software Management of Memory Subsystem Contention on Multicore Systems. UC San Diego: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/6qh988zb

The multicore era has initiated a move to ubiquitous parallelization of software. In the process, cores have scaled out but the memory subsystem resources have not kept up. Memory subsystem contention within and between applications makes it challeng

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::9c2d914ad6ca2f4f0f87ebf333e9f071
http://www.escholarship.org/uc/item/6qh988zb

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The case for colocation of high performance computing workloads

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

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https://doi.org/10.1002/cpe.3187

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Enabling Fair Pricing on High Performance Computer Systems with Node Sharing

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

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Enabling fair pricing on HPC systems with node sharing

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

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https://doi.org/10.1145/2503210.2503256

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Bubble-flux

Autor: Hailong Yang, Breslow Alexander D, Lingjia Tang, Jason Mars

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

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https://doi.org/10.1145/2485922.2485974

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Hybrid MPI/GPU interpolation for grid DEM construction

Autor: Breslow Alexander D, Jake Baskin, David Wilikofsky, Andrew Danner

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb5f70cc4baca4ce1191be97d9674897
https://doi.org/10.1145/2424321.2424360

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