M
M. Mendell
Researcher at IBM
Publications - 23
Citations - 1020
M. Mendell is an academic researcher from IBM. The author has contributed to research in topics: Compiler & IBM. The author has an hindex of 11, co-authored 23 publications receiving 1001 citations.
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Proceedings ArticleDOI
An Overview of the BlueGene/L Supercomputer
N. R. Adiga,Gheorghe Almasi,George Almási,Y. Aridor,Rajkishore Barik,D. Beece,Ralph Bellofatto,Gyan Bhanot,R. Bickford,Matthias A. Blumrich,A. A. Bright,Jose R. Brunheroto,Calin Cascaval,José G. Castaños,Waiman Chan,Luis Ceze,Paul W. Coteus,Siddhartha Chatterjee,Dong Chen,G. Chiu,Thomas Mario Cipolla,Paul G. Crumley,K.M. Desai,A. Deutsch,T. Domany,M. B. Dombrowa,Wilm E. Donath,Maria Eleftheriou,C. Christopher Erway,J. Esch,Blake G. Fitch,J. Gagliano,Alan Gara,Rahul Garg,Robert S. Germain,Mark E. Giampapa,B. Gopalsamy,John A. Gunnels,Manish Gupta,Fred G. Gustavson,Shawn A. Hall,R. A. Haring,D. Heidel,P. Heidelberger,L.M. Herger,Dirk Hoenicke,Rory D. Jackson,T. Jamal-Eddine,Gerard V. Kopcsay,Elie Krevat,Manish P. Kurhekar,A.P. Lanzetta,Derek Lieber,L.K. Liu,M. Lu,M. Mendell,A. Misra,Yosef Moatti,L. Mok,José E. Moreira,Ben J. Nathanson,M. Newton,Martin Ohmacht,Adam J. Oliner,Vinayaka Pandit,R.B. Pudota,Rick A. Rand,R. Regan,B. Rubin,Albert E. Ruehli,Silvius Rus,Ramendra K. Sahoo,A. Sanomiya,Eugen Schenfeld,M. Sharma,E. Shmueli,Suryabhan Singh,Peilin Song,Vijayalakshmi Srinivasan,Burkhard Steinmacher-Burow,Karin Strauss,C. Surovic,Richard A. Swetz,Todd E. Takken,R.B. Tremaine,M. Tsao,A. R. Umamaheshwaran,P. Verma,Pavlos M. Vranas,T.J.C. Ward,M. Wazlowski,William A. Barrett,C. Engel,B. Drehmel,B. Hilgart,D. Hill,F. Kasemkhani,D. Krolak,C.T. Li,T. Liebsch,James Anthony Marcella,Adam J. Muff,A. Okomo,M. Rouse,A. Schram,Matthew R. Tubbs,G. Ulsh,Charles D. Wait,J. Wittrup,M. Bae,Kenneth Alan Dockser,Lynn Kissel,M.K. Seager,Jeffrey S. Vetter,K. Yates +114 more
TL;DR: An overview of the BlueGene/L Supercomputer, a massively parallel system of 65,536 nodes based on a new architecture that exploits system-on-a-chip technology to deliver target peak processing power of 360 teraFLOPS (trillion floating-point operations per second).
Journal ArticleDOI
IBM streams processing language: analyzing big data in motion
Martin Hirzel,Henrique Andrade,Bugra Gedik,Gabriela Jacques-Silva,Rohit Khandekar,Vineet Kumar,M. Mendell,Howard Nasgaard,Scott Schneider,Robert Soulé,Kun-Lung Wu +10 more
TL;DR: SPL abstracts away the complexity of the distributed system, instead exposing a simple graph-of-operators view to the user and provides a strong type system and user-defined operator models.
Journal ArticleDOI
Blue Matter, an application framework for molecular simulation on blue gene
Blake G. Fitch,R. S. Germain,M. Mendell,Jed W. Pitera,Michael C. Pitman,Aleksandr Rayshubskiy,Yuk Y. Sham,Frank Suits,William C. Swope,T. J. C. Ward,Yuriy Zhestkov,Ruhong Zhou +11 more
TL;DR: Preliminary results indicate that the high-performance networks on BG/L will allow us to use FFT-based techniques for periodic electrostatics with reasonable speedups on 512-1024 node count partitions even for systems with as few as 5000 atoms.
Journal ArticleDOI
Blue Gene/L programming and operating environment
José E. Moreira,G. Almasi,Charles J. Archer,Ralph Bellofatto,P. Bergner,Jose R. Brunheroto,Michael Brian Brutman,José G. Castaños,Paul G. Crumley,Manish Gupta,Todd A. Inglett,Derek Lieber,D. Limpert,Patrick Joseph McCarthy,Mark Megerian,M. Mendell,Michael B. Mundy,D. Reed,Ramendra K. Sahoo,A. Sanomiya,R. Shok,Brian E. Smith,G. G. Stewart +22 more
TL;DR: The system software stack for BG/L creates a programming and operating environment that harnesses the raw power of this architecture with great effectiveness and specialized the services provided by each component of the system architecture to deliver high performance to applications.
Journal ArticleDOI
Design and exploitation of a high-performance SIMD floating-point unit for Blue Gene/L
Siddhartha Chatterjee,L. R. Bachega,P. Bergner,Kenneth Alan Dockser,John A. Gunnels,Manish Gupta,Fred G. Gustavson,Christopher A. Lapkowski,G. K. Liu,M. Mendell,Ravi Nair,C. D. Wait,T. J. C. Ward,Peng Wu +13 more
TL;DR: The design of a dual-issue single-instruction, multiple-data-like (SIMD-like) extension of the IBM PowerPC® 440 floating-point unit (FPU) core and the compiler and algorithmic techniques to exploit it are described and measurements show that the combination of algorithm, compiler, and hardware delivers a significant fraction of peak floating- point performance for compute-bound-kernels, such as matrix multiplication.