DocumentCode :
598610
Title :
SGI® UV2: A fused computation and data analysis machine
Author :
Thorson, G. ; Woodacre, M.
Author_Institution :
SGI, Chippewa Falls, WI, USA
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
1
Lastpage :
9
Abstract :
UV2 is SGI´s second generation data fusion system. UV2 was designed to meet the latest challenges facing users in computation and data analysis. Its unique ability to perform both functions on a single platform enables efficient, easy to manage workflows. This platform has a hybrid infrastructure, leveraging the latest Intel® EP processors providing industry leading computational power. Due to its high bandwidth, extremely low latency NUMALink®6 (NL6) interconnect, plus vectorized synchronization and data movement, UV2 provides industry leading data intensive capability. It supports a single operating system (OS) image up to 64TB and 4K threads. Multiple OS images can be deployed on a single NL6 fabric, which has a single flat address space up to 8PB and 256K threads. These capabilities allow for extreme performance on a broad range of programming models and languages including OpenMP[1], MPI, UPC[2], CAF[3] and SHMEM. The architecture, implementation and performance of UV2 are detailed.
Keywords :
data analysis; microprocessor chips; multiprocessor interconnection networks; operating systems (computers); sensor fusion; 256K threads; 8PB threads; CAF; Intel EP processors; MPI; NL6; NL6 fabric; NUMALink 6 interconnect; OS; OpenMP; SGI UV2; SHMEM; UPC; data analysis machine; fused computation; industry leading computational power; industry leading data intensive capability; operating system image; second generation data fusion system; vectorized synchronization; Bandwidth; Coherence; Data integration; Engines; Program processors; Registers; Sockets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SC), 2012 International Conference for
Conference_Location :
Salt Lake City, UT
ISSN :
2167-4329
Print_ISBN :
978-1-4673-0805-2
Type :
conf
DOI :
10.1109/SC.2012.102
Filename :
6468519
Link To Document :
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