Fpga Accelerated Analytics

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Fpga-Accelerated Analytics

Author : Zsolt István
Publisher :
ISBN 13 : 9781680837346
Total Pages : 120 pages
Book Rating : 4.8/5 (373 download)

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Book Synopsis Fpga-Accelerated Analytics by : Zsolt István

Download or read book Fpga-Accelerated Analytics written by Zsolt István and published by . This book was released on 2020-09-28 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Datacenters hosting the data-intensive applications used in machine learning and online services are facing an important challenge: the amount of data that needs to be stored and processed is increasing at an exponential rate whereas traditional processor performance has been stagnating for years as Moore's Law tapers off. Driven by these trends, data processing and management applications have become increasingly distributed leading to new data movement bottlenecks at various levels of the software and hardware architecture. The authors show how specialized hardware accelerators can provide an answer to the compute stagnation problem and be helpful in reducing data movement bottlenecks by placing them in the right location within the computer architecture. They concentrate on Field Programmable Gate Arrays (FPGAs) and show how they make it possible to express algorithms in ways that are fundamentally different from CPUs or GPUs. Many major companies are using these accelerator techniques in their storage and processing offerings. The authors discuss the benefits of using FPGAs in the context of analytical processing, both as an accelerator within a single node database and as part of distributed data analytics pipelines. They present guidelines for accelerator design in both scenarios and examples of integration within full-fledged Relational Databases. They do so through the prism of recent research projects that explore how emerging compute-intensive operations in databases can benefit from FPGAs. Finally, they highlight future research challenges in programmability and integration and cover architectural trends that are propelling the rapid adoption of accelerators in datacenters and the cloud. The monograph provides researchers and practitioners a concise insight into how FPGAs can play an important role in designing modern data-intensive computing systems. Drawing on both theory and practical implementations the readers are brought quickly up to speed on a technique that will significantly improve a system's performance.

Column Storage for FPGA-accelerated Data Analytics

Author : David Sidler
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (841 download)

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Book Synopsis Column Storage for FPGA-accelerated Data Analytics by : David Sidler

Download or read book Column Storage for FPGA-accelerated Data Analytics written by David Sidler and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

FPGA Based Accelerators for Financial Applications

Author : Christian De Schryver
Publisher : Springer
ISBN 13 : 3319154079
Total Pages : 288 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis FPGA Based Accelerators for Financial Applications by : Christian De Schryver

Download or read book FPGA Based Accelerators for Financial Applications written by Christian De Schryver and published by Springer. This book was released on 2015-07-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers and quants/programmers who think about integrating FPGAs into their current IT systems.

Hardware Acceleration of Video Analytics on FPGA Using OpenCL

Author : Akshay Dua
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (131 download)

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Book Synopsis Hardware Acceleration of Video Analytics on FPGA Using OpenCL by : Akshay Dua

Download or read book Hardware Acceleration of Video Analytics on FPGA Using OpenCL written by Akshay Dua and published by . This book was released on 2019 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the exponential growth in video content over the period of the last few years, analysis of videos is becoming more crucial for many applications such as self-driving cars, healthcare, and traffic management. Most of these video analysis application uses deep learning algorithms such as convolution neural networks (CNN) because of their high accuracy in object detection. Thus enhancing the performance of CNN models become crucial for video analysis. CNN models are computationally-expensive operations and often require high-end graphics processing units (GPUs) for acceleration. However, for real-time applications in an energy-thermal constrained environment such as traffic management, GPUs are less preferred because of their high power consumption, limited energy efficiency. They are challenging to fit in a small place. To enable real-time video analytics in emerging large scale Internet of things (IoT) applications, the computation must happen at the network edge (near the cameras) in a distributed fashion. Thus, edge computing must be adopted. Recent studies have shown that field-programmable gate arrays (FPGAs) are highly suitable for edge computing due to their architecture adaptiveness, high computational throughput for streaming processing, and high energy efficiency. This thesis presents a generic OpenCL-defined CNN accelerator architecture optimized for FPGA-based real-time video analytics on edge. The proposed CNN OpenCL kernel adopts a highly pipelined and parallelized 1-D systolic array architecture, which explores both spatial and temporal parallelism for energy efficiency CNN acceleration on FPGAs. The large fan-in and fan-out of computational units to the memory interface are identified as the limiting factor in existing designs that causes scalability issues, and solutions are proposed to resolve the issue with compiler automation. The proposed CNN kernel is highly scalable and parameterized by three architecture parameters, namely pe_num, reuse_fac, and vec_fac, which can be adapted to achieve 100% utilization of the coarse-grained computation resources (e.g., DSP blocks) for a given FPGA. The proposed CNN kernel is generic and can be used to accelerate a wide range of CNN models without recompiling the FPGA kernel hardware. The performance of Alexnet, Resnet-50, Retinanet, and Light-weight Retinanet has been measured by the proposed CNN kernel on Intel Arria 10 GX1150 FPGA. The measurement result shows that the proposed CNN kernel, when mapped with 100% utilization of computation resources, can achieve a latency of 11ms, 84ms, 1614.9ms, and 990.34ms for Alexnet, Resnet-50, Retinanet, and Light-weight Retinanet respectively when the input feature maps and weights are represented using 32-bit floating-point data type.

Security of FPGA-Accelerated Cloud Computing Environments

Author : Jakub Szefer
Publisher : Springer Nature
ISBN 13 : 3031453956
Total Pages : 329 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Security of FPGA-Accelerated Cloud Computing Environments by : Jakub Szefer

Download or read book Security of FPGA-Accelerated Cloud Computing Environments written by Jakub Szefer and published by Springer Nature. This book was released on 2024-01-29 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses security of FPGA-accelerated cloud computing environments. It presents a comprehensive review of the state-of-the-art in security threats as well as defenses. The book further presents design principles to help in the evaluation and designs of cloud-based FPGA deployments which are secure from information leaks and potential attacks.

FPGA-BASED Hardware Accelerators

Author : Iouliia Skliarova
Publisher : Springer
ISBN 13 : 3030207218
Total Pages : 245 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis FPGA-BASED Hardware Accelerators by : Iouliia Skliarova

Download or read book FPGA-BASED Hardware Accelerators written by Iouliia Skliarova and published by Springer. This book was released on 2019-05-30 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.

Analyzing Analytics

Author : Rajesh Bordawekar
Publisher : Springer Nature
ISBN 13 : 3031017498
Total Pages : 118 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Analyzing Analytics by : Rajesh Bordawekar

Download or read book Analyzing Analytics written by Rajesh Bordawekar and published by Springer Nature. This book was released on 2022-05-31 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to achieve the following goals: (1) to provide a high-level survey of key analytics models and algorithms without going into mathematical details; (2) to analyze the usage patterns of these models; and (3) to discuss opportunities for accelerating analytics workloads using software, hardware, and system approaches. The book first describes 14 key analytics models (exemplars) that span data mining, machine learning, and data management domains. For each analytics exemplar, we summarize its computational and runtime patterns and apply the information to evaluate parallelization and acceleration alternatives for that exemplar. Using case studies from important application domains such as deep learning, text analytics, and business intelligence (BI), we demonstrate how various software and hardware acceleration strategies are implemented in practice. This book is intended for both experienced professionals and students who are interested in understanding core algorithms behind analytics workloads. It is designed to serve as a guide for addressing various open problems in accelerating analytics workloads, e.g., new architectural features for supporting analytics workloads, impact on programming models and runtime systems, and designing analytics systems.

Data Processing on FPGAs

Author : Jens Teubner
Publisher : Springer Nature
ISBN 13 : 3031018494
Total Pages : 104 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Processing on FPGAs by : Jens Teubner

Download or read book Data Processing on FPGAs written by Jens Teubner and published by Springer Nature. This book was released on 2022-05-31 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Roughly a decade ago, power consumption and heat dissipation concerns forced the semiconductor industry to radically change its course, shifting from sequential to parallel computing. Unfortunately, improving performance of applications has now become much more difficult than in the good old days of frequency scaling. This is also affecting databases and data processing applications in general, and has led to the popularity of so-called data appliances—specialized data processing engines, where software and hardware are sold together in a closed box. Field-programmable gate arrays (FPGAs) increasingly play an important role in such systems. FPGAs are attractive because the performance gains of specialized hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible than hard-wired circuits (ASICs) and can be integrated into complex systems in many different ways, e.g., directly in the network for a high-frequency trading application. This book gives an introduction to FPGA technology targeted at a database audience. In the first few chapters, we explain in detail the inner workings of FPGAs. Then we discuss techniques and design patterns that help mapping algorithms to FPGA hardware so that the inherent parallelism of these devices can be leveraged in an optimal way. Finally, the book will illustrate a number of concrete examples that exploit different advantages of FPGAs for data processing. Table of Contents: Preface / Introduction / A Primer in Hardware Design / FPGAs / FPGA Programming Models / Data Stream Processing / Accelerated DB Operators / Secure Data Processing / Conclusions / Bibliography / Authors' Biographies / Index

High Performance Computing

Author : Michèle Weiland
Publisher : Springer Nature
ISBN 13 : 3030343561
Total Pages : 682 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis High Performance Computing by : Michèle Weiland

Download or read book High Performance Computing written by Michèle Weiland and published by Springer Nature. This book was released on 2019-12-02 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems (WOPSSS), 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18), 3rd International Workshop on In Situ Visualization: Introduction and Applications, ExaComm: Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, International Workshop on OpenPOWER for HPC (IWOPH18), IXPUG Workshop: Many-core Computing on Intel, Processors: Applications, Performance and Best-Practice Solutions, Workshop on Sustainable Ultrascale Computing Systems, Approximate and Transprecision Computing on Emerging Technologies (ATCET), First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence, 3rd Workshop for Open Source Supercomputing (OpenSuCo), First Workshop on Interactive High-Performance Computing, Workshop on Performance Portable Programming Models for Accelerators (P^3MA). The 48 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.

FPGA-Accelerated Simulation of Computer Systems

Author : Hari Angepat
Publisher : Springer Nature
ISBN 13 : 3031017447
Total Pages : 64 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis FPGA-Accelerated Simulation of Computer Systems by : Hari Angepat

Download or read book FPGA-Accelerated Simulation of Computer Systems written by Hari Angepat and published by Springer Nature. This book was released on 2022-05-31 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate software-implemented simulation of computer systems and selected simulators that incorporate those techniques. More precisely, we describe a simulation architecture taxonomy that incorporates a simulation architecture specifically designed for FPGA accelerated simulation, survey the state-of-the-art in FPGA-accelerated simulation, and describe in detail selected instances of the described techniques. Table of Contents: Preface / Acknowledgments / Introduction / Simulator Background / Accelerating Computer System Simulators with FPGAs / Simulation Virtualization / Categorizing FPGA-based Simulators / Conclusion / Bibliography / Authors' Biographies

Proceedings of the 2017 ACM International Conference on Management of Data

Author : Alvin Cheung
Publisher :
ISBN 13 : 9781450341998
Total Pages : pages
Book Rating : 4.3/5 (419 download)

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Book Synopsis Proceedings of the 2017 ACM International Conference on Management of Data by : Alvin Cheung

Download or read book Proceedings of the 2017 ACM International Conference on Management of Data written by Alvin Cheung and published by . This book was released on 2017-05-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: SIGMOD/PODS'17: International Conference on Management of Data May 14, 2017-May 19, 2017 Chicago, 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.

Emerging Technology and Architecture for Big-data Analytics

Author : Anupam Chattopadhyay
Publisher : Springer
ISBN 13 : 3319548409
Total Pages : 332 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Emerging Technology and Architecture for Big-data Analytics by : Anupam Chattopadhyay

Download or read book Emerging Technology and Architecture for Big-data Analytics written by Anupam Chattopadhyay and published by Springer. This book was released on 2017-04-19 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

Practical Big Data Analytics

Author : Nataraj Dasgupta
Publisher : Packt Publishing Ltd
ISBN 13 : 1783554401
Total Pages : 402 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Practical Big Data Analytics by : Nataraj Dasgupta

Download or read book Practical Big Data Analytics written by Nataraj Dasgupta and published by Packt Publishing Ltd. This book was released on 2018-01-15 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.

A Streaming Accelerator for Heterogeneous Multicore-FPGA Processing of Graph Analytics Applications

Author : Francis O'Brien
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis A Streaming Accelerator for Heterogeneous Multicore-FPGA Processing of Graph Analytics Applications by : Francis O'Brien

Download or read book A Streaming Accelerator for Heterogeneous Multicore-FPGA Processing of Graph Analytics Applications written by Francis O'Brien and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work explores the acceleration of graph processing on a heterogeneous platform that tightly integrates an FPGA with a multicore processor to share system memory. The key research challenge addressed is that of designing an accelerator that exclusively accesses graph data in system memory, enabling the concurrent use of both the accelerator and software. Specifically, the work proposes a streaming accelerator design for the scatter phase of iterative scatter-gather graph processing. The streaming design is implemented and evaluated on the second-generation Intel Heterogeneous Architecture Research Platform (HARPv2). Evaluation of three key graph processing kernels using a combination of synthetic and real-world graphs shows that this design achieves highperformance, up to 1100 MTEPS. Further, the accelerator has high FPGA-to-Memory bandwidth utilization, over 90%. The streaming accelerator also features fine-grain granularity sharing with the CPU that enables integration with efficient load-balancing schemes, such as work-stealing.

IoT and Analytics for Sensor Networks

Author : Padmalaya Nayak
Publisher : Springer Nature
ISBN 13 : 9811629196
Total Pages : 502 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis IoT and Analytics for Sensor Networks by : Padmalaya Nayak

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.

Database Systems for Advanced Applications

Author : Hong Gao
Publisher : Springer
ISBN 13 : 3319320556
Total Pages : 401 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Database Systems for Advanced Applications by : Hong Gao

Download or read book Database Systems for Advanced Applications written by Hong Gao and published by Springer. This book was released on 2016-04-11 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the workshop proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The volume contains 32 full papers (selected from 43 submissions) from 4 workshops, each focusing on a specific area that contributes to the main themes of DASFAA 2016: The Third International Workshop on Semantic Computing and Personalization, SeCoP 2016; the Third International Workshop on Big Data Management and Service, BDMS 2016; the First International Workshop on Big Data Quality Management, BDQM 2016; and the Second International Workshop on Mobile of Internet, MoI 2016.

FPGA Algorithms and Applications for the Internet of Things

Author : Sharma, Preeti
Publisher : IGI Global
ISBN 13 : 1522598081
Total Pages : 257 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis FPGA Algorithms and Applications for the Internet of Things by : Sharma, Preeti

Download or read book FPGA Algorithms and Applications for the Internet of Things written by Sharma, Preeti and published by IGI Global. This book was released on 2020-03-30 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields. FPGA Algorithms and Applications for the Internet of Things provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.