The Paramountcy of Reconfigurable Computing
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Switching Theory for Logic Synthesis Ad Hoc Wireless Networking Data
COMMUNICATION ENGINEERING & SIGNAL PROCESSING Switching Theory for Logic Synthesis Tsutomu Sasao Contents: 1. Mathematical Foundation. 2. Lattice and Boolean Algebra. 3. Logic Functions and their Representations 4. Optimization of and-or Two-level Logic Networks. 5. Logic Functions with Various Properties. 6. Sequential Networks. 7. Optimization of Sequential Networks. 8. Delay and Asynchronous Behavior. 9. Multi-valued Input Two-valued Output Function. 10. Heuristic Optimization of Two- level Networks. 11. Multi-level Logic Synthesis. 12. Logic Design Using Modules. 13. Logic Design Using EXORs. 14. Complexity of Logic Networks Rpt. 2011 379 pp 978-81-84898-02-6 BSPSPR Rs. 595.00 Ad Hoc Wireless Networking For New Arrivals visit Cheng Contents: 1. Introduction 2. Related Work 3. Formulation of Power-aware Routing 4. Online Power-aware Routing with max-min zPmin 5. Hierarchical Routing with max-min zPmin 6. Distributed Routing with max-min zPmin Rpt. 2011 630 pp 978-81-84898-48-4 BSPSPR Rs. 650.00 Communications Satellite Handbook : Walter L. Morgan, Gary D. Gordon www.bspbooks.net / www.bspublications.net Contents: 1. Obtaining Access to the Satellite 2. TELETRAFFIC 3. Interfaces Between Terrestrial and Satellite Systems 4. Telecommunications Systems 5. COMMUNICATIONS SATELLITE SYSTEMS 6. System Modeling 7. Overall System Calculations 8. MULTIPLE-ACCESS TECHNIQUES 9. Frequency Domain Multiple Access 10. Time Domain Multiple Access 11. Space Domain Multiple Access 12. Code Domain Multiple Access 13. Random Multiple Access 14. SPACECRAFT TECHNOLOGY 15. Space Configuration and Subsystems 16. Telemetry, Tracking, and Command 17. Solar Arrays 18. Attitude Control 19. Thermal Control 20. SATELLITE ORBITS 21. Direction of Orbit Normals and of Sun 22. -
Reconfigurable Computing
Reconfigurable Computing: A Survey of Systems and Software KATHERINE COMPTON Northwestern University AND SCOTT HAUCK University of Washington Due to its potential to greatly accelerate a wide variety of applications, reconfigurable computing has become a subject of a great deal of research. Its key feature is the ability to perform computations in hardware to increase performance, while retaining much of the flexibility of a software solution. In this survey, we explore the hardware aspects of reconfigurable computing machines, from single chip architectures to multi-chip systems, including internal structures and external coupling. We also focus on the software that targets these machines, such as compilation tools that map high-level algorithms directly to the reconfigurable substrate. Finally, we consider the issues involved in run-time reconfigurable systems, which reuse the configurable hardware during program execution. Categories and Subject Descriptors: A.1 [Introductory and Survey]; B.6.1 [Logic Design]: Design Style—logic arrays; B.6.3 [Logic Design]: Design Aids; B.7.1 [Integrated Circuits]: Types and Design Styles—gate arrays General Terms: Design, Performance Additional Key Words and Phrases: Automatic design, field-programmable, FPGA, manual design, reconfigurable architectures, reconfigurable computing, reconfigurable systems 1. INTRODUCTION of algorithms. The first is to use hard- wired technology, either an Application There are two primary methods in con- Specific Integrated Circuit (ASIC) or a ventional computing for the execution group of individual components forming a This research was supported in part by Motorola, Inc., DARPA, and NSF. K. Compton was supported by an NSF fellowship. S. Hauck was supported in part by an NSF CAREER award and a Sloan Research Fellowship. -
Reconfigurable Computing
Reconfigurable computing: architectures and design methods T.J. Todman, G.A. Constantinides, S.J.E. Wilton, O. Mencer, W. Luk and P.Y.K. Cheung Abstract: Reconfigurable computing is becoming increasingly attractive for many applications. This survey covers two aspects of reconfigurable computing: architectures and design methods. The paper includes recent advances in reconfigurable architectures, such as the Alters Stratix II and Xilinx Virtex 4 FPGA devices. The authors identify major trends in general-purpose and special- purpose design methods. It is shown that reconfigurable computing designs are capable of achieving up to 500 times speedup and 70% energy savings over microprocessor implementations for specific applications. 1 Introduction Recent research suggests that it is a trend rather than a one-off for a wide variety of applications: from image Reconfigurable computing is rapidly establishing itself as a processing [3] to floating-point operations [4]. major discipline that covers various subjects of learning, Sheer speed, while important, is not the only strength of including both computing science and electronic engineer- reconfigurable computing. Another compelling advantage is ing. Reconfigurable computing involves the use of reduced energy and power consumption. In a reconfigurable reconfigurable devices, such as field programmable gate system, the circuitry is optimised for the application, such arrays (FPGAs), for computing purposes. Reconfigurable that the power consumption will tend to be much lower than computing is also known as configurable computing or that for a general-purpose processor. A recent study [5] custom computing, since many of the design techniques can reports that moving critical software loops to reconfigurable be seen as customising a computational fabric for specific hardware results in average energy savings of 35% to 70% applications [1]. -
High-Performance Computing and Compiler Optimization
High-Performance Computing and Compiler Optimization P. (Saday) Sadayappan August 2019 What is a compiler? What •is Traditionally:a Compiler? Program that analyzes and translates from a high level language (e.g., C++) to low-level assembly languageCompilers that can be executed are translators by hardware • Fortran var a • C Machine code var b int a, b; Virtual machine code • C++ mov 3 a a = • 3;Java Transformed source code mov 4 r1 if (a• Text < processing4) { translate Augmented sourcecmpi a r1 b language= 2; • HTML/XML code jge l_e } else { • Command & Low-level commands mov 2 b b Scripting= 3; Semantic jmp l_d } Languages components • Natural language Anotherl_e: language mov 3 b • Domain specific l_d: ;done languages Wednesday,Wednesday, August 22, August 12 22, 12 Source: Milind Kulkarni 2 Compilers are optimizers • Can perform optimizations to make a program more What isefficient a Compiler? Compilers are optimizers var a • Can perform optimizations to make a program more efficient var b var a var c var b int a, b, c; mov a r1 var c b = av + 3; addi 3 r1 mov a r1 var a c = av + 3; mov varr1 bb addivar a3 r1 mov vara r2c movvar r1b b int a, b, c; addimov 3 ar2 r1 movvar r1c c b = a + 3; mov addir2 c3 r1 mov a Source:r1 Milind Kulkarni c = a + 3; mov r1 b addi 3 r1 ♦ Early days of computing: Minimizingmov a numberr2 of executedmov r1 b instructions Wednesday,minimized August 22, 12 program execution timeaddi 3 r2 mov r1 c § Sequential processors: had a singlemov functional r2 c unit to execute instructions § Compiler technology is very advanced in minimizing number of instructions ♦ Today:Wednesday, August 22, 12 § All computers are highly parallel: must make use of all parallel resources § Cost of data movement dominates the cost of performing the operations on data § Many challenging problems for compilers 3 The Good Old Days for Software Source: J. -
The Intel X86 Microarchitectures Map Version 2.0
The Intel x86 Microarchitectures Map Version 2.0 P6 (1995, 0.50 to 0.35 μm) 8086 (1978, 3 µm) 80386 (1985, 1.5 to 1 µm) P5 (1993, 0.80 to 0.35 μm) NetBurst (2000 , 180 to 130 nm) Skylake (2015, 14 nm) Alternative Names: i686 Series: Alternative Names: iAPX 386, 386, i386 Alternative Names: Pentium, 80586, 586, i586 Alternative Names: Pentium 4, Pentium IV, P4 Alternative Names: SKL (Desktop and Mobile), SKX (Server) Series: Pentium Pro (used in desktops and servers) • 16-bit data bus: 8086 (iAPX Series: Series: Series: Series: • Variant: Klamath (1997, 0.35 μm) 86) • Desktop/Server: i386DX Desktop/Server: P5, P54C • Desktop: Willamette (180 nm) • Desktop: Desktop 6th Generation Core i5 (Skylake-S and Skylake-H) • Alternative Names: Pentium II, PII • 8-bit data bus: 8088 (iAPX • Desktop lower-performance: i386SX Desktop/Server higher-performance: P54CQS, P54CS • Desktop higher-performance: Northwood Pentium 4 (130 nm), Northwood B Pentium 4 HT (130 nm), • Desktop higher-performance: Desktop 6th Generation Core i7 (Skylake-S and Skylake-H), Desktop 7th Generation Core i7 X (Skylake-X), • Series: Klamath (used in desktops) 88) • Mobile: i386SL, 80376, i386EX, Mobile: P54C, P54LM Northwood C Pentium 4 HT (130 nm), Gallatin (Pentium 4 Extreme Edition 130 nm) Desktop 7th Generation Core i9 X (Skylake-X), Desktop 9th Generation Core i7 X (Skylake-X), Desktop 9th Generation Core i9 X (Skylake-X) • Variant: Deschutes (1998, 0.25 to 0.18 μm) i386CXSA, i386SXSA, i386CXSB Compatibility: Pentium OverDrive • Desktop lower-performance: Willamette-128 -
Efpgas : Architectural Explorations, System Integration & a Visionary Industrial Survey of Programmable Technologies Syed Zahid Ahmed
eFPGAs : Architectural Explorations, System Integration & a Visionary Industrial Survey of Programmable Technologies Syed Zahid Ahmed To cite this version: Syed Zahid Ahmed. eFPGAs : Architectural Explorations, System Integration & a Visionary Indus- trial Survey of Programmable Technologies. Micro and nanotechnologies/Microelectronics. Université Montpellier II - Sciences et Techniques du Languedoc, 2011. English. tel-00624418 HAL Id: tel-00624418 https://tel.archives-ouvertes.fr/tel-00624418 Submitted on 16 Sep 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Université Montpellier 2 (UM2) École Doctorale I2S LIRMM (Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier) Domain: Microelectronics PhD thesis report for partial fulfillment of requirements of Doctorate degree of UM2 Thesis conducted in French Industrial PhD (CIFRE) framework between: Menta & LIRMM lab (Dec.2007 – Feb. 2011) in Montpellier, FRANCE “eFPGAs: Architectural Explorations, System Integration & a Visionary Industrial Survey of Programmable Technologies” eFPGAs: Explorations architecturales, integration système, et une enquête visionnaire industriel des technologies programmable by Syed Zahid AHMED Presented and defended publically on: 22 June 2011 Jury: Mr. Guy GOGNIAT Prof. at STICC/UBS (Lorient, FRANCE) President Mr. Habib MEHREZ Prof. at LIP6/UPMC (Paris, FRANCE) Reviewer Mr. -
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Reiner Hartenstein, University of Kaiserslautern, Germany [email protected] http://hartenstein.de viewgraph downloading: link found in 60 Semester Informatik I http://kressarray.de Kritik an der Praktischen Informatik Xputer Lab University of Kaiserslautern (in der Lehre) Festkolloquium Universität Dortmund, 18. – 19. Juli 2002 • mißbraucht ihre Zweidrittel-Mehrheit • hält die Prägungsphase strikt „procedural-only“ • Absolventen sind daher völlig unvorbereitet für Reiner Hartenstein die nahe Zukunft Data-Stream-based Computing: Universität – Wo >90% der Anwendungen für eingebettete Kaiserslautern Antimaterie der Kern-Informatik Systeme implementiert werden – Wie für 2010 vorhergesagt • nur wenige % des Kurrikulum wären zu ändern • meine Mission: Sie hierfür zu gewinnen © 2002, [email protected] 2 http://KressArray.de Kritik an der Technischen Informatik, TI die Kern-Informatik: jung ? dynamisch ? University of Kaiserslautern (klassischer Art) University of Kaiserslautern .. ist nach >10 Technologie-Generationen ... • diese ist noch immer weit verbreitet das von Neumann Paradigma .... • keine Vorbereitung auf die heutige Arbeitswelt • 1th 4004 ... der vN Mikroprozessor • 2nd 8008 ... noch immer ist ein Methusalem ... • Indizien: Begriffe wie „Rechnerorganisation“, • 3rd 8086 die vorherrschende „Rechnerstrukturen, “„Rechnerarchitektur“ • 4th 80286 Doktrin • 5th 80386 ... die Dampfmaschine • vN-only, alles andere wird konsequent verschwiegen • 6th 80486 des Silizium-Zeitalters die Mikroelektronik • 7th P5 (Pentium) • Paradebeispiel: -
EMBEDDED ELECTRONIC SYSTEMS DRIVEN by RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T
UNIVERSITAT ROVIRA I VIRGILI EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T. 877-2012 Francisco Fons Lluís EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE DOCTORAL THESIS Supervised by Dr. Enrique F. Cantó Navarro Departament d’Enginyeria Electrònica, Elèctrica i Automàtica Tarragona 2012 UNIVERSITAT ROVIRA I VIRGILI EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T. 877-2012 UNIVERSITAT ROVIRA I VIRGILI EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T. 877-2012 ESCOLA TÈCNICA SUPERIOR D’ENGINYERIA DEPARTAMENT D’ENGINYERIA ELECTRÒNICA, ELÈCTRICA I AUTOMÀTICA Avinguda dels Països Catalans, 26 Campus Sescelades 43007 Tarragona – SPAIN Tel. + 34 977 559 610 Fax + 34 977 559 605 e-mail: [email protected] http://sauron.etse.urv.es/DEEEA/ Enrique F. Cantó Navarro, professor at the Department of Electronic, Electrical and Automatic Control Engineering of the University Rovira i Virgili, STATES: That the present thesis, entitled “Embedded electronic systems driven y run-time reconfigurable hardware”, presented by Francisco Fons Lluís for the award of the degree of Doctor, has been carried out under my supervision at the Department of Electronic, Electrical and Automatic Control Engineering of the University Rovira i Virgili. Tarragona, March 2012 Doctoral Thesis Supervisor Dr. Enrique F. Cantó Navarro UNIVERSITAT ROVIRA I VIRGILI EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T. 877-2012 UNIVERSITAT ROVIRA I VIRGILI EMBEDDED ELECTRONIC SYSTEMS DRIVEN BY RUN-TIME RECONFIGURABLE HARDWARE Francisco Fons Lluís DL: T. 877-2012 Abstract Runtime reconfigurable hardware technology has experienced a big progress in the last decade after both academia and industry research communities have jointly got involved in this issue, bringing the necessary talent and energy to definitively put this technology to the service of the society. -
The Intel X86 Microarchitectures Map Version 2.2
The Intel x86 Microarchitectures Map Version 2.2 P6 (1995, 0.50 to 0.35 μm) 8086 (1978, 3 µm) 80386 (1985, 1.5 to 1 µm) P5 (1993, 0.80 to 0.35 μm) NetBurst (2000 , 180 to 130 nm) Skylake (2015, 14 nm) Alternative Names: i686 Series: Alternative Names: iAPX 386, 386, i386 Alternative Names: Pentium, 80586, 586, i586 Alternative Names: Pentium 4, Pentium IV, P4 Alternative Names: SKL (Desktop and Mobile), SKX (Server) Series: Pentium Pro (used in desktops and servers) • 16-bit data bus: 8086 (iAPX Series: Series: Series: Series: • Variant: Klamath (1997, 0.35 μm) 86) • Desktop/Server: i386DX Desktop/Server: P5, P54C • Desktop: Willamette (180 nm) • Desktop: Desktop 6th Generation Core i5 (Skylake-S and Skylake-H) • Alternative Names: Pentium II, PII • 8-bit data bus: 8088 (iAPX • Desktop lower-performance: i386SX Desktop/Server higher-performance: P54CQS, P54CS • Desktop higher-performance: Northwood Pentium 4 (130 nm), Northwood B Pentium 4 HT (130 nm), • Desktop higher-performance: Desktop 6th Generation Core i7 (Skylake-S and Skylake-H), Desktop 7th Generation Core i7 X (Skylake-X), • Series: Klamath (used in desktops) 88) • Mobile: i386SL, 80376, i386EX, Mobile: P54C, P54LM Northwood C Pentium 4 HT (130 nm), Gallatin (Pentium 4 Extreme Edition 130 nm) Desktop 7th Generation Core i9 X (Skylake-X), Desktop 9th Generation Core i7 X (Skylake-X), Desktop 9th Generation Core i9 X (Skylake-X) • New instructions: Deschutes (1998, 0.25 to 0.18 μm) i386CXSA, i386SXSA, i386CXSB Compatibility: Pentium OverDrive • Desktop lower-performance: Willamette-128 -
Redalyc.Optimization of Operating Systems Towards Green Computing
International Journal of Combinatorial Optimization Problems and Informatics E-ISSN: 2007-1558 [email protected] International Journal of Combinatorial Optimization Problems and Informatics México Appasami, G; Suresh Joseph, K Optimization of Operating Systems towards Green Computing International Journal of Combinatorial Optimization Problems and Informatics, vol. 2, núm. 3, septiembre-diciembre, 2011, pp. 39-51 International Journal of Combinatorial Optimization Problems and Informatics Morelos, México Available in: http://www.redalyc.org/articulo.oa?id=265219635005 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative © International Journal of Combinatorial Optimization Problems and Informatics, Vol. 2, No. 3, Sep-Dec 2011, pp. 39-51, ISSN: 2007-1558. Optimization of Operating Systems towards Green Computing Appasami.G Assistant Professor, Department of CSE, Dr. Pauls Engineering College, Affiliated to Anna University – Chennai, Villupuram, Tamilnadu, India E-mail: [email protected] Suresh Joseph.K Assistant Professor, Department of computer science, Pondicherry University, Pondicherry, India E-mail: [email protected] Abstract. Green Computing is one of the emerging computing technology in the field of computer science engineering and technology to provide Green Information Technology (Green IT / GC). It is mainly used to protect environment, optimize energy consumption and keeps green environment. Green computing also refers to environmentally sustainable computing. In recent years, companies in the computer industry have come to realize that going green is in their best interest, both in terms of public relations and reduced costs. -
Nvidia Tesla Gpu Computing Processor Ushers in The
For further information, contact: Andrew Humber NVIDIA Corporation (408) 486 8138 [email protected] FOR IMMEDIATE RELEASE: NVIDIA TESLA GPU COMPUTING PROCESSOR USHERS IN THE ERA OF PERSONAL SUPERCOMPUTING New NVIDIA Tesla Solutions Bring Unprecedented, High-Density Parallel Processing to the HPC Market “NVIDIA Tesla™ is going to make discovery of huge oil reserves possible through faster and more accurate interpretation of geophysical data.” —Steve Briggs, Headwave, Inc. “NVIDIA Tesla will give us a 100-fold increase in some of our programs, and this is on desktop machines where previously we would have had to run these calculations on a cluster.” —John Stone, University of Illinois Urbana-Champaign “NVIDIA Tesla has opened up completely new worlds for computational electromagnetics.” — Ryan Schneider, Acceleware SANTA CLARA, CA—JUNE 20, 2007—High-performance computing in fields like the geosciences, molecular biology, and medical diagnostics enable discoveries that transform billions of lives every day. Universities, research institutions, and companies in these and other fields face a daunting challenge—as their simulation models become exponentially complex, so does their need for vast computational resources. NVIDIA took a giant step in meeting this challenge with its announcement of a new class of processors based on a revolutionary new GPU. Under the NVIDIA® Tesla™ brand, NVIDIA will offer a family of GPU computing products that will place the power previously available only from supercomputers in the hands of every scientist and engineer. Today’s workstations will be transformed into “personal supercomputers.” “Today’s science is no longer confined to the laboratory; scientists employ computer simulations before a single physical experiment is performed. -
A Personal Supercomputer for Climate Research
CSAIL Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology A Personal Supercomputer for Climate Research James C. Hoe, Chris Hill In proceedings of SuperComputing'99, Portland, Oregon 1999, August Computation Structures Group Memo 425 The Stata Center, 32 Vassar Street, Cambridge, Massachusetts 02139 A Personal Sup ercomputer for Climate Research Computation Structures Group Memo 425 August 24, 1999 James C. Ho e Lab for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 jho [email protected] Chris Hill, Alistair Adcroft Dept. of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Cambridge, MA 02139 fcnh,[email protected] To app ear in Pro ceedings of SC'99 This work was funded in part by grants from the National Science Foundation and NOAA and with funds from the MIT Climate Mo deling Initiative[23]. The hardware development was carried out at the Lab oratory for Computer Science, MIT and was funded in part by the Advanced Research Pro jects Agency of the Department of Defense under the Oce of Naval Research contract N00014-92-J- 1310 and Ft. Huachuca contract DABT63-95-C-0150. James C. Ho e is supp orted byanIntel Foundation Graduate Fellowship. The computational resources for this work were made available through generous donations from Intel Corp oration. We acknowledge Arvind and John Marshall for their continuing supp ort. We thank Andy Boughton and Larry Rudolph for their invaluable technical input. A Personal Sup ercomputer for Climate Research James C. Ho e Chris Hill, Alistair Adcroft Lab for Computer Science Dept. of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Massachusetts Institute of Technology Cambridge, MA 02139 Cambridge, MA 02139 jho [email protected] fcnh,[email protected] August 24, 1999 Abstract We describ e and analyze the p erformance of a cluster of p ersonal computers dedicated to coupled climate simulations.