Introduction to Reconfigurable Computing
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Die Kulturelle Aneignung Des Spielraums. Vom Virtuosen Spielen
Alexander Knorr Die kulturelle Aneignung des Spielraums Vom virtuosen Spielen zum Modifizieren und zurück Ausgangspunkt Obgleich der digital divide immer noch verhindert, dass Computerspiele zu ge- nuin globalen Gütern werden, wie es etwa der Verbrennungsmotor, die Ka- laschnikow, Hollywoodikonen, Aspirin und Coca Cola längst sind, sprengt ihre sich nach wie vor beschleunigende Verbreitung deutlich geografische, natio- nale, soziale und kulturelle Schranken. In den durch die Internetinfrastruktur ermöglichten konzeptuellen Kommunikations- und Interaktionsräumen sind Spieler- und Spielkulturen wesentlich verortet, welche weiten Teilen des öf- fentlichen Diskurses fremd und unverständlich erscheinen, insofern sie über- haupt bekannt sind. Durch eine von ethnologischen Methoden und Konzepten getragene, lang andauernde und nachhaltige Annäherung ¯1 an transnational zusammengesetzte Spielergemeinschaften werden die kulturell informierten Handlungen ihrer Mitglieder sichtbar und verstehbar. Es erschließen sich so- ziale Welten geteilter Werte, Normen, Vorstellungen, Ideen, Ästhetiken und Praktiken – Kulturen eben, die wesentlich komplexer, reichhaltiger und viel- schichtiger sind, als der oberflächliche Zaungast es sich vorzustellen vermag. Der vorliegende Artikel konzentriert sich auf ein, im Umfeld prototypischer First-Person-Shooter – genau dem Genre, das im öffentlichen Diskurs beson- ders unter Beschuss steht – entstandenes Phänomen: Die äußerst performativ orientierte Kultur des trickjumping. Nach einer Einführung in das ethnologische -
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. -
Syllabus: EEL4930/5934 Reconfigurable Computing
EEL4720/5721 Reconfigurable Computing (dual-listed course) Department of Electrical and Computer Engineering University of Florida Spring Semester 2019 Catalog Description: Prereq: EEL4712C or EEL5764 or consent of instructor. Fundamental concepts at advanced undergraduate level (EEL4720) and introductory graduate level (EEL5721) in reconfigurable computing (RC) based upon advanced technologies in field-programmable logic devices. Topics include general RC concepts, device architectures, design tools, metrics and kernels, system architectures, and application case studies. Credit Hours: 3 Prerequisites by Topic: Fundamentals of digital design including device technologies, design methodology and techniques, and design environments and tools; fundamentals of computer organization and architecture, including datapath and control structures, data formats, instruction-set principles, pipelining, instruction-level parallelism, memory hierarchy, and interconnects and interfacing. Instructor: Dr. Herman Lam Office: Benton Hall, Room 313 Office hours: TBA Telephone: (352) 392-2689 Email: [email protected] Teaching Assistant: Seyed Hashemi Office hours: TBA Email: [email protected] Class lectures: MWF 4th period, Larsen Hall 239 Required textbook: none References: . Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation, edited by Scott Hauck and Andre DeHon, Elsevier, Inc. (Morgan Kaufmann Publishers), Amsterdam, 2008. ISBN: 978-0-12-370522-8 . C. Maxfield, The Design Warrior's Guide to FPGAs, Newnes, 2004, ISBN: 978-0750676045. -
A MATLAB Compiler for Distributed, Heterogeneous, Reconfigurable
A MATLAB Compiler For Distributed, Heterogeneous, Reconfigurable Computing Systems P. Banerjee, N. Shenoy, A. Choudhary, S. Hauck, C. Bachmann, M. Haldar, P. Joisha, A. Jones, A. Kanhare A. Nayak, S. Periyacheri, M. Walkden, D. Zaretsky Electrical and Computer Engineering Northwestern University 2145 Sheridan Road Evanston, IL-60208 [email protected] Abstract capabilities and are coordinated to perform an application whose subtasks have diverse execution requirements. One Recently, high-level languages such as MATLAB have can visualize such systems to consist of embedded proces- become popular in prototyping algorithms in domains such sors, digital signal processors, specialized chips, and field- as signal and image processing. Many of these applications programmable gate arrays (FPGA) interconnected through whose subtasks have diverse execution requirements, often a high-speed interconnection network; several such systems employ distributed, heterogeneous, reconfigurable systems. have been described in [9]. These systems consist of an interconnected set of heteroge- A key question that needs to be addressed is how to map neous processing resources that provide a variety of archi- a given computation on such a heterogeneous architecture tectural capabilities. The objective of the MATCH (MATlab without expecting the application programmer to get into Compiler for Heterogeneous computing systems) compiler the low level details of the architecture or forcing him/her to project at Northwestern University is to make it easier for understand -
Architecture and Programming Model Support for Reconfigurable Accelerators in Multi-Core Embedded Systems »
THESE DE DOCTORAT DE L’UNIVERSITÉ BRETAGNE SUD COMUE UNIVERSITE BRETAGNE LOIRE ÉCOLE DOCTORALE N° 601 Mathématiques et Sciences et Technologies de l'Information et de la Communication Spécialité : Électronique Par « Satyajit DAS » « Architecture and Programming Model Support For Reconfigurable Accelerators in Multi-Core Embedded Systems » Thèse présentée et soutenue à Lorient, le 4 juin 2018 Unité de recherche : Lab-STICC Thèse N° : 491 Rapporteurs avant soutenance : Composition du Jury : Michael HÜBNER Professeur, Ruhr-Universität François PÊCHEUX Professeur, Sorbonne Université Bochum Président (à préciser après la soutenance) Jari NURMI Professeur, Tampere University of Angeliki KRITIKAKOU Maître de conférences, Université Technology Rennes 1 Davide ROSSI Assistant professor, Université de Bologna Kevin MARTIN Maître de conférences, Université Bretagne Sud Directeur de thèse Philippe COUSSY Professeur, Université Bretagne Sud Co-directeur de thèse Luca BENINI Professeur, Université de Bologna Architecture and Programming Model Support for Reconfigurable Accelerators in Multi-Core Embedded Systems Satyajit Das 2018 iii ABSTRACT Emerging trends in embedded systems and applications need high throughput and low power consumption. Due to the increasing demand for low power computing, and diminishing returns from technology scaling, industry and academia are turning with renewed interest toward energy efficient hardware accelerators. The main drawback of hardware accelerators is that they are not programmable. Therefore, their utilization can be low as they perform one specific function and increasing the number of the accelerators in a system onchip (SoC) causes scalability issues. Programmable accelerators provide flexibility and solve the scalability issues. Coarse-Grained Reconfigurable Array (CGRA) architecture consisting several processing elements with word level granularity is a promising choice for programmable accelerator. -
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]. -
Hardware Platforms for Embedded Computing Graphics: © Alexandra Nolte, Gesine Marwedel, 2003 Universität Dortmund Importance of Energy Efficiency
Universität Dortmund Hardware Platforms for Embedded Computing Graphics: © Alexandra Nolte, Gesine Marwedel, 2003 Universität Dortmund Importance of Energy Efficiency Efficient software design needed, otherwise, the price for software flexibility cannot be paid. © Hugo De Man (IMEC) Philips, 2007 Universität Dortmund Embedded vs. general-purpose processors • Embedded processors may be optimized for a category of applications. – Customization may be narrow or broad. • We may judge embedded processors using different metrics: – Code size. – Memory system performance. – Preditability. • Disappearing distinction: embedded processors everywhere Universität Dortmund Microcontroller Architectures Memory 0 Address Bus Program + CPU Data Bus Data Von Neumann 2n Architecture Memory 0 Address Bus Program CPU Fetch Bus Harvard Address Bus 0 Architecture Data Bus Data Universität Dortmund RISC processors • RISC generally means highly-pipelinable, one instruction per cycle. • Pipelines of embedded RISC processors have grown over time: – ARM7 has 3-stage pipeline. – ARM9 has 5-stage pipeline. – ARM11 has eight-stage pipeline. ARM11 pipeline [ARM05]. Universität Dortmund ARM Cortex Based on ARMv7 Architecture & Thumb®-2 ISA – ARM Cortex A Series - Applications CPUs focused on the execution of complex OS and user applications • First Product: Cortex-A8 • Executes ARM, Thumb-2 instructions – ARM Cortex R Series - Deeply embedded processors focused on Real-time environments • First Product: Cortex-R4(F) • Executes ARM, Thumb-2 instructions – ARM Cortex M -
Reconfigurable Computing
Reconfigurable Computing David Boland1, Chung-Kuan Cheng2, Andrew B. Kahng2, Philip H.W. Leong1 1School of Electrical and Information Engineering, The University of Sydney, Australia 2006 2Dept. of Computer Science and Engineering, University of California, La Jolla, California Abstract: Reconfigurable computing is the application of adaptable fabrics to solve computational problems, often taking advantage of the flexibility available to produce problem-specific architectures that achieve high performance because of customization. Reconfigurable computing has been successfully applied to fields as diverse as digital signal processing, cryptography, bioinformatics, logic emulation, CAD tool acceleration, scientific computing, and rapid prototyping. Although Estrin-first proposed the idea of a reconfigurable system in the form of a fixed plus variable structure computer in 1960 [1] it has only been in recent years that reconfigurable fabrics, in the form of field-programmable gate arrays (FPGAs), have reached sufficient density to make them a compelling implementation platform for high performance applications and embedded systems. In this article, intended for the non-specialist, we describe some of the basic concepts, tools and architectures associated with reconfigurable computing. Keywords: reconfigurable computing; adaptable fabrics; application integrated circuits; field programmable gate arrays (FPGAs); system architecture; runtime 1 Introduction Although reconfigurable fabrics can in principle be constructed from any type of technology, in practice, most contemporary designs are made using commercial field programmable gate arrays (FPGAs). An FPGA is an integrated circuit containing an array of logic gates in which the connections can be configured by downloading a bitstream to its memory. FPGAs can also be embedded in integrated circuits as intellectual property cores. -
06523078 Galih Hendro Martono.Pdf (8.658Mb)
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Quake Three Download
Quake three download Download ioquake3. The Quake 3 engine is open source. The Quake III: Arena game itself is not free. You must purchase the game to use the data and play. While the first Quake and its sequel were equally divided between singleplayer and multiplayer portions, id's Quake III: Arena scrapped the. I fucking love you.. My car has a Quake 3 logo vinyl I got a Quake 3 logo tatoo on my back I just ordered a. Download Demo Includes 2 items: Quake III Arena, QUAKE III: Team Arena Includes 8 items: QUAKE, QUAKE II, QUAKE II Mission Pack: Ground Zero. Quake 3 Gold Free Download PC Game setup in single direct link for windows. Quark III Gold is an impressive first person shooter game. Quake III Arena GPL Source Release. Contribute to Quake-III-Arena development by creating an account on GitHub. Rust Assembly Shell. Clone or download. Quake III Arena, free download. Famous early 3D game. 4 screenshots along with a virus/malware test and a free download link. Quake III Description. Never before have the forces aligned. United by name and by cause, The Fallen, Pagans, Crusaders, Intruders, and Stroggs must channel. Quake III: Team Arena takes the awesome gameplay of Quake III: Arena one step further, with team-based play. Run, dodge, jump, and fire your way through. This is the first and original port of ioquake3 to Android available on Google Play, while commercial forks are NOT, don't pay for a free GPL product ***. Topic Starter, Topic: Quake III Arena Downloads OSP a - Download Aerowalk by the Preacher, recreated by the Hubster - Download. -
The Paramountcy of Reconfigurable Computing
Energy Efficient Distributed Computing Systems, Edited by Albert Y. Zomaya, Young Choon Lee. ISBN 978-0-471--90875-4 Copyright © 2012 Wiley, Inc. Chapter 18 The Paramountcy of Reconfigurable Computing Reiner Hartenstein Abstract. Computers are very important for all of us. But brute force disruptive architectural develop- ments in industry and threatening unaffordable operation cost by excessive power consumption are a mas- sive future survival problem for our existing cyber infrastructures, which we must not surrender. The pro- gress of performance in high performance computing (HPC) has stalled because of the „programming wall“ caused by lacking scalability of parallelism. This chapter shows that Reconfigurable Computing is the sil- ver bullet to obtain massively better energy efficiency as well as much better performance, also by the up- coming methodology of HPRC (high performance reconfigurable computing). We need a massive cam- paign for migration of software over to configware. Also because of the multicore parallelism dilemma, we anyway need to redefine programmer education. The impact is a fascinating challenge to reach new hori- zons of research in computer science. We need a new generation of talented innovative scientists and engi- neers to start the beginning second history of computing. This paper introduces a new world model. 18.1 Introduction In Reconfigurable Computing, e. g. by FPGA (Table 15), practically everything can be implemented which is running on traditional computing platforms. For instance, recently the historical Cray 1 supercomputer has been reproduced cycle-accurate binary-compatible using a single Xilinx Spartan-3E 1600 development board running at 33 MHz (the original Cray ran at 80 MHz) 0.