Download or read book Proceedings of the 2017 ACM SIGDA International Symposium on Field Programmable Gate Arrays written by Jonathan Greene and published by . This book was released on 2017-02-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: FPGA '17: The 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays Feb 22, 2017-Feb 24, 2017 Monterey, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book FPGA 17 The 2017 ACM SIGDA International Symposium on Field Programmable Gate Arrays written by Fpga 17 Conference Committee and published by . This book was released on 2017-02-22 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: FPGA '17: The 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays Feb 22, 2017-Feb 24, 2017 Monterey, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book Fpga 17 written by Jonathan Greene and published by . This book was released on 2017-02-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: FPGA '17: The 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays Feb 22, 2017-Feb 24, 2017 Monterey, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.
Download or read book FPGA 18 written by Fpga and published by . This book was released on 2018-10-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to welcome you to the 2018 ACM International Symposium on Field-Programmable Gate Arrays (ACM FPGA 2018). ACM FPGA is the premiere forum for the presentation of new and exciting research on all aspects of FPGA technology, which include: Novel FPGA architectures and circuits Advances in CAD tools for FPGAs, in areas such as technology mapping, placement, routing, and others. High-level design methodologies that permit FPGA design at higher levels of abstraction. New applications for FPGAs, particularly their use as accelerators for achieving higher computational throughput and energy efficiency. Aside from the technical sessions, the conference provides the opportunity for FPGA researchers and practitioners from around the world to connect with long-time friends, meet new ones, and network with one another in beautiful Monterey, California, famous worldwide for its spectacular coast, Fisherman's Wharf, and Cannery Row. This year we received 116 submissions, of which 26 were accepted as full research papers (10 pages) to appear in the main conference or the pre-conference special-session on deep learning, and 4 papers were accepted as short research papers (6 pages). All full and short papers appear in these proceedings. In addition, 31 submissions were selected to be presented as posters; abstracts of these appear in these proceedings. At FPGA 2018, we continue to see an emphasis on the two themes causing tremendous interest in the FPGA industry: 1) the potential role for FPGAs in deep learning, and 2) the recent introduction of FPGAs in the cloud by increasing numbers of large companies, including Microsoft, Amazon, Baidu, Alibaba, Huawei, IBM and others. The panel discussion, at the Monday evening banquet, will consider whether FPGAs (as opposed to GPUs and CPUs) will ultimately succeed in becoming a widespread computing platform for deep learning. We expect a lively exchange among the panelists! The symposium kicks off with back-to-back Sunday morning workshops on cloud-deployed FPGAs, and a parallel workshop session on using FPGAs for packet processing as specified in the P4 language. Sunday afternoon will focus on how FPGAs can be used for deep learning, with both invited presentations and research presentations. The use of low computational precision will figure prominently in the deep-learning research presented.
Download or read book Learning in Energy Efficient Neuromorphic Computing Algorithm and Architecture Co Design written by Nan Zheng and published by John Wiley & Sons. This book was released on 2019-12-31 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
Download or read book Field Programmable Logic and Application written by Jürgen Becker and published by Springer. This book was released on 2004-08-11 with total page 1226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the papers presented at the 14th International Conference on Field Programmable Logic and Applications (FPL) held during August 30th- September 1st 2004. The conference was hosted by the Interuniversity Micro- Electronics Center (IMEC) in Leuven, Belgium. The FPL series of conferences was founded in 1991 at Oxford University (UK), and has been held annually since: in Oxford (3 times), Vienna, Prague, Darmstadt, London, Tallinn, Glasgow, Villach, Belfast, Montpellier and Lisbon. It is the largest and oldest conference in reconfigurable computing and brings together academic researchers, industry experts, users and newcomers in an informal, welcoming atmosphere that encourages productive exchange of ideas and knowledge between the delegates. The fast and exciting advances in field programmable logic are increasing steadily with more and more application potential and need. New ground has been broken in architectures, design techniques, (partial) run-time reconfiguration and applications of field programmable devices in several different areas. Many of these recent innovations are reported in this volume. The size of the FPL conferences has grown significantly over the years. FPL in 2003 saw 216 papers submitted. The interest and support for FPL in the programmable logic community continued this year with 285 scientific papers submitted, demonstrating a 32% increase when compared to the year before. The technical program was assembled from 78 selected regular papers, 45 additional short papers and 29 posters, resulting in this volume of proceedings. The program also included three invited plenary keynote presentations from Xilinx, Gilder Technology Report and Altera, and three embedded tutorials from Xilinx, the Universit ̈ at Karlsruhe (TH) and the University of Oslo.
Download or read book FPGA 15 23rd ACM Sigada International Symposium on Field Programmable Gate Arrays written by Fpga 15 Conference Committees and published by . This book was released on 2015-03-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 2024 ACM SIGDA International Symposium on Field Programmable Gate Arrays written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-11-02 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book VLSI Design and Test written by Ambika Prasad Shah and published by Springer Nature. This book was released on 2022-12-16 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 26th International Symposium on VLSI Design and Test, VDAT 2022, which took place in Jammu, India, in July 2022. The 32 regular papers and 16 short papers presented in this volume were carefully reviewed and selected from 220 submissions. They were organized in topical sections as follows: Devices and Technology; Sensors; Analog/Mixed Signal; Digital Design; Emerging Technologies and Memory; System Design.
Download or read book Domain Specific Computer Architectures for Emerging Applications written by Chao Wang and published by CRC Press. This book was released on 2024-06-04 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures. Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas.
Download or read book 24th ACM SIGADA International Symposium on Field Programmable Gate Arrays written by FPGA 16 Conference Committee and published by . This book was released on 2016-07-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IoT and Analytics for Sensor Networks written by Padmalaya Nayak and published by Springer Nature. This book was released on 2021-09-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.
Download or read book FPGA 19 written by Fpga'19 and published by . This book was released on 2020-03-26 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to welcome you to the 2019 ACM International Symposium on Field-Programmable Gate Arrays (ACM FPGA 2019). ACM FPGA is the premiere forum for the presentation of new and exciting research on all aspects of FPGA technology, which include: Novel FPGA architectures and circuits. Advances in CAD tools for FPGAs, in areas such as technology mapping, placement, routing, and others. High-level design methodologies that permit FPGA design at higher levels of abstraction. New applications for FPGAs, particularly for energy efficient and high performance computation. Aside from the technical sessions, the conference provides the opportunity for FPGA researchers and practitioners from around the world to network with long-time friends and make new connections in a beautiful setting. This year the conference venue has moved a short distance to Seaside, California, but remains close to the spectacular coastline of the Monterey Bay and the attractions in the cities of Monterey and Pacific Beach. This year the program committee received 161 paper submissions, of which 139 papers met submission guidelines and were reviewed. This represents an increase of almost 40% from last year. As a result, we've extended the conference program to 3 full days, consisting of 24 full research papers (10 pages), 6 short research papers (6 pages), and 2 peer-reviewed tutorials (10 pages). Overall 23% of reviewed papers were accepted. 63 submissions were selected to be presented as posters and appear in these proceedings in abstract form. In addition, 3 invited tutorials will also be presented, with accompanying material published in the proceedings. At FPGA 2019, we continue to see a huge interest in using FPGAs for Machine Learning, particularly for efficient inference of Deep Neural Networks. This year over 40% of submissions were related to Machine Learning. Invited industry keynotes and tutorials will highlight new tools and architectures for maximizing the efficiency of Deep Neural Networks. The field of deep learning continues to change rapidly and FPGAs seem well positioned for many new applications, in both data center and in embedded environments. The other big trend for FPGAs in the past year has been towards widespread deployment in data centers, with almost all major data center providers enabling access to FPGAs-as-a-Service. At the same time, CPUs and GPUs continue to dominate Supercomputer deployments. The panel discussion, at the Monday evening banquet, will consider whether FPGAs can impact other high performance computing applications. The panel will include representatives from the FPGA and Supercomputing communities. We expect a lively exchange among the panelists!
Download or read book Architecture of Computing Systems ARCS 2019 written by Martin Schoeberl and published by Springer. This book was released on 2019-05-13 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.
Download or read book Context Aware Systems and Applications written by Phan Cong Vinh and published by Springer Nature. This book was released on 2022-01-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the International Conference on Context-Aware Systems and Applications, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 25 revised full papers presented were carefully selected from 52 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.
