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