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1-10 of 40 Reviews about "
Super (Very Large) Computers (C.5.1...)
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Date Reviewed
Scaling distributed transaction processing and recovery based on dependency logging
Yao C., Zhang M., Lin Q., Ooi B., Xu J. The VLDB Journal: The International Journal on Very Large Data Bases 27(3): 347-368, 2018. Type: Article
Since the beginning of the Computer Age, databases have stored data and applications have used that data. The use of the same data at the same time by different applications is called concurrency, and it may cause problems. Different m...
Aug 31 2018
High performance computing: modern systems and practices
Sterling T., Anderson M., Brodowicz M., Morgan Kaufmann Publishers Inc., Cambridge, MA, 2018. 718 pp. Type: Book (978-0-124201-58-3)
Either a layperson in programming or an experienced serial programming expert will like this textbook, which presents all the flavors of large-scale and parallel computing. All the relevant topics are covered to varying extents, but ge...
Aug 6 2018
Exascale scientific applications: scalability and performance portability
Straatsma T., Antypas K., Williams T., Chapman&Hall/CRC, Boca Raton, FL, 2018. 608 pp. Type: Book (978-1-138197-54-1)
The TOP500 website (https://www.top500.org) lists the current most powerful computer systems on the planet. The top system at the end of 2017 was capable of more than 125000 teraflops (trillions of floating point operations per second)...
Jul 23 2018
Petascale computing (Chapman & Hall/CRC Computational Science Series)
Bader D., Chapman & Hall/CRC, 2007. 616 pp. Type: Book (9781584889090)
The term petascale computing denotes massively parallel systems capable of executing 10
15
--that is, one quadrillion--floating point operations per second. A study published in 2001 predicted the first petas...
May 6 2009
Overview of the IBM Blue Gene/P project
IBM Journal of Research and Development 52(1): 199-220, 2008. Type: Article
The IBM Blue Gene/P system (BG/P) is the successor of the Blue Gene/L system. In this new version, the Blue Gene uses quad-processor symmetric multiprocessing (SMP) nodes for both computing and input/output (I/O) activities. The BG/P a...
Sep 10 2008
The Blue Gene/L supercomputer: a hardware and software story
Moreira J., Salapura V., Almasi G., Archer C., Bellofatto R., Bergner P., Bickford R., Blumrich M., Brunheroto J., Bright A., Brutman M., Castaños J., Chen D., Coteus P., Crumley P., Ellis S., Engelsiepen T., Gara A., Giampapa M., Gooding T., Hall S., Haring R., Haskin R., Heidelberger P., Hoenicke D., Inglett T., Kopcsay G., Lieber D., Limpert D., McCarthy P., Megerian M., Mundy M., Ohmacht M., Parker J., Rand R., Reed D., Sahoo R., Sanomiya A., Shok R., Smith B., Stewart G., Takken T., Vranas P., Wallenfelt B., Blocksome M., Ratterman J. International Journal of Parallel Programming 35(3): 181-206, 2007. Type: Article
The IBM Blue Gene/L supercomputer at the Lawrence Livermore National Laboratory was ranked first on the TOP500 Web site in November 2005. In this paper, authored by more than 40 IBM staff members, the architecture, rollout, and accompl...
Apr 22 2008
High-Performance Computing: Clusters, Constellations, MPPs, and Future Directions
Dongarra J., Sterling T., Simon H., Strohmaier E. Computing in Science and Engineering 7(2): 51-59, 2005. Type: Article
In a rapidly growing and interdisciplinary field like information technology, terminology has always been a concern, as a given word may denote different ideas across groups and across time. A term is meaningful only if it helps to def...
Feb 23 2006
The Supercomputer Industry in Light of the Top500 Data
Feitelson D. Computing in Science and Engineering 7(1): 42-47, 2005. Type: Article
This paper is a study of development trends in the high-performance computer (HPC) industry, based on the ten years of data given in the Top500 list of HPC centers worldwide. By identifying invariants and trends in the Top500 data, the...
Aug 5 2005
Superlinear performance in real-time parallel computation
Akl S. The Journal of Supercomputing 29(1): 89-111, 2004. Type: Article
In this paper, several examples are presented to debunk the belief, or folk theorem, that the speedup achieved by a parallel algorithm using
n
processors over a sequential algorithm is at most equal to
n
Oct 19 2004
Behind Deep Blue: building the computer that defeated the world chess champion
Hsu F., Princeton University Press, Princeton, NJ, 2004. 320 pp. Type: Book (9780691118185), Reviews: (2 of 2)
At face value, the story of the computer that defeated the world chess champion is certainly worth telling. Fortunately, the key player in what emerged as a saga had superb literary skills, and wrote about the sequence of events in a h...
Sep 10 2004
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