Reducing The Development Cost Of Customized Hardware Acceleration For Cloud Infrastructure
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Reducing The Development Cost Of Customized Hardware Acceleration For Cloud Infrastructure
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Author : Moein Khazraee
language : en
Publisher:
Release Date : 2020
Reducing The Development Cost Of Customized Hardware Acceleration For Cloud Infrastructure written by Moein Khazraee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Customized hardware accelerators have made it possible to meet increasing workload demands in cloud computing by customizing the hardware to a specific application. They are needed because the cost and energy efficiency of general-purpose processors has plateaued. However, creating a custom hardware accelerator for an application takes several months for development and requires upfront development costs in the order of millions of dollars. These constraints have limited their use to applications that have sufficient maturity and scale to justify a large upfront investment. For instance, Google uses customized hardware accelerators to process voice searches for half a billion Google Assistant customers, and Microsoft uses programmable customized hardware accelerators to answer queries for ~100 million Bing search users. Reducing development costs makes it possible to use hardware accelerators on applications that have moderate scale or change over time. In this dissertation, I demonstrate that it is feasible to reduce the development costs of custom hardware accelerators in cloud infrastructure. Specifically, the following three frameworks reduce development cost for the three main parts of the cloud infrastructure. For computation inside data centers, I built a bottom-up framework that considers different design parameters of fully customized chips and servers to find the optimal total cost solution. This solution balances operational, fixed and development costs. Counter-intuitively, I demonstrate that older silicon technology nodes can provide better cost efficiency for moderate applications. For in-network computations, I built a framework that reduces development cost by offloading the control portion of an application-specific hardware accelerator to modest processors inside programmable customized hardware. I demonstrate that this framework can achieve throughput of ~200 Gbps for the compute-intensive task of deep packet inspection. For base stations at the cloud edge, I built a flexible framework on top of software-defined radios which significantly reduces their required computation performance and bandwidth. I show that it is possible to backhaul the entire 100 MHz of the 2.4 GHz ISM band over only 224 Mbps instead of 3.2 Gbps; making it possible to decode BLE packets in software with requirement of a wimpy embedded processor.
Research Infrastructures For Hardware Accelerators
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Author : Yakun Sophia Shao
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Research Infrastructures For Hardware Accelerators written by Yakun Sophia Shao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
Hardware acceleration in the form of customized datapath and control circuitry tuned to specific applications has gained popularity for its promise to utilize transistors more efficiently. Historically, the computer architecture community has focused on general-purpose processors, and extensive research infrastructure has been developed to support research efforts in this domain. Envisioning future computing systems with a diverse set of general-purpose cores and accelerators, computer architects must add accelerator-related research infrastructures to their toolboxes to explore future heterogeneous systems. This book serves as a primer for the field, as an overview of the vast literature on accelerator architectures and their design flows, and as a resource guidebook for researchers working in related areas.
Hardware Accelerators In Data Centers
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Author : Christoforos Kachris
language : en
Publisher: Springer
Release Date : 2018-08-21
Hardware Accelerators In Data Centers written by Christoforos Kachris and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Technology & Engineering categories.
This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers. The authors present the most recent and promising solutions, using hardware accelerators to provide high throughput, reduced latency and higher energy efficiency compared to current servers based on commodity processors. Readers will benefit from state-of-the-art information regarding application requirements in contemporary data centers, computational complexity of typical tasks in cloud computing, and a programming framework for the efficient utilization of the hardware accelerators.
Improving Emerging Systems Efficiency With Hardware Accelerators
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Author : Henrique Fingler
language : en
Publisher:
Release Date : 2023
Improving Emerging Systems Efficiency With Hardware Accelerators written by Henrique Fingler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The constant growth of datacenters and cloud computing comes with an increase of power consumption. With the end of Dennard scaling and Moore's law, computing no longer grows at the same ratio as transistor count and density grows. This thesis explores ideas to increase computing efficiency, which is defined as the ratio of processing power per energy spent. Hardware acceleration is an established technique to improve computing efficiency by specializing hardware to a subset of operations or application domains. While accelerators have fueled the success of some application domains such as machine learning, accelerator programming interfaces and runtimes have significant limitations that collectively form barriers to adoption in many settings. There are great opportunities for extending hardware acceleration interfaces to more application domains and other platforms. First, this thesis presents DGSF, a framework that enables serverless platforms to access disaggregated accelerators (GPUs). DGSF uses virtualization techniques to provide serverless platforms with GPUs, with the abstraction of a local GPU that can be backed by a local or a remote physical GPU. Through optimizations specific to serverless platforms, applications that use a GPU can have a lower end-to-end execution time than if they were run natively, using a local physical GPU. DGSF extends hardware acceleration accessibility to an existing serverless platforms which currently does not support accelerators, showing the flexibility and ease of deployment of the DGSF framework. Next, this thesis presents LAKE, a framework that introduces accelerator and machine learning support to operating system kernels. I believe there is great potential to replace operating system resource management heuristics with machine learning, for example, I/O and process scheduling. Accelerators are vital to support efficient, low latency inference for kernels that makes frequent use of ML techniques. Unfortunately, operating systems can not access hardware acceleration. LAKE uses GPU virtualization techniques to efficiently enable accelerator accessibility in operating systems. However, allowing operating systems to use hardware acceleration introduces problems unique to this scenario. User and kernel applications can contend for resources such as CPU or accelerators. Unmanaged resource contention can harm the performance of applications. Machine learning-based kernel subsystems can produce unsatisfactory results. There need to be guardrails, mechanisms that prevent machine learning models to output solutions with quality below a threshold, to avoid poor decisions and performance pathologies. LAKE proposes customizable, developer written policies that can control contention, modulate execution and provide guardrails to machine learning. Finally, this thesis proposes LFR, a feature registry that augments LAKE to provide a shared feature and model registry framework to support future ML-in-the-kernel applications, removing the need of ad hoc designs. The learnings from LAKE showed that machine learning in operating systems can increase computing efficiency and revealed the absence of a shared framework. Such framework is a required component in future research and production of machine learning driven operating systems. LFR introduces an in-kernel feature registry that provides machine learning-based kernel subsystems with a common API to store, capture and manage models and feature vectors, and facilitates the insertion of inference hooks into the kernel. This thesis studies the application of LFR, and evaluates the performance critical parts, such as capturing and storing features
Artificial Intelligence And Hardware Accelerators
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Author : Ashutosh Mishra
language : en
Publisher: Springer Nature
Release Date : 2023-03-15
Artificial Intelligence And Hardware Accelerators written by Ashutosh Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-15 with Technology & Engineering categories.
This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators
Mastering Cloud Computing
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Author : Rajkumar Buyya
language : en
Publisher: Newnes
Release Date : 2013-04-05
Mastering Cloud Computing written by Rajkumar Buyya and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-05 with Computers categories.
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment Real-world case studies include scientific, business, and energy-efficiency considerations
Data Plane Development Kit Dpdk
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Author : Heqing Zhu
language : en
Publisher: CRC Press
Release Date : 2020-11-19
Data Plane Development Kit Dpdk written by Heqing Zhu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Computers categories.
This book brings together the insights and practical experience of some of the most experienced Data Plane Development Kit (DPDK) technical experts, detailing the trend of DPDK, data packet processing, hardware acceleration, packet processing and virtualization, as well as the practical application of DPDK in the fields of SDN, NFV, and network storage. The book also devotes many chunks to exploring various core software algorithms, the advanced optimization methods adopted in DPDK, detailed practical experience, and the guides on how to use DPDK.
Enterprise Cloud Strategy
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Author : Barry Briggs
language : en
Publisher: Microsoft Press
Release Date : 2016-01-07
Enterprise Cloud Strategy written by Barry Briggs and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Computers categories.
How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage.
Introduction To Reconfigurable Computing
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Author : Christophe Bobda
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-30
Introduction To Reconfigurable Computing written by Christophe Bobda and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-30 with Technology & Engineering categories.
This work is a comprehensive study of the field. It provides an entry point to the novice willing to move in the research field reconfigurable computing, FPGA and system on programmable chip design. The book can also be used as teaching reference for a graduate course in computer engineering, or as reference to advance electrical and computer engineers. It provides a very strong theoretical and practical background to the field, from the early Estrin’s machine to the very modern architecture such as embedded logic devices.
Parallel Computing Is Everywhere
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Author : S. Bassini
language : en
Publisher: IOS Press
Release Date : 2018-03-07
Parallel Computing Is Everywhere written by S. Bassini and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-07 with Computers categories.
The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.