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A Cloud-Scale Acceleration Architecture

Adrian Caulfield, Eric Chung, Andrew Putnam, Hari Angepat, Jeremy Fowers, Stephen Heil, Joo-Young Kim, Daniel Lo, Michael Papamichael, Todd Massengill, Derek Chiou, Doug Burger
2017 IEEE Micro  
In this paper we propose a new cloud architecture that uses reconfigurable logic to accelerate both network plane functions and applications.  ...  This Configurable Cloud architecture places a layer of reconfigurable logic (FPGAs) between the network switches and the servers, enabling network flows to be programmably transformed at line rate, enabling  ...  In this paper, we describe a new cloud-scale, FPGA-based acceleration architecture, which we call the Configurable Cloud, which eliminates all of the limitations listed above with a single design.  ... 
doi:10.1109/mm.2017.265085811 fatcat:zvhw3z4cdzgcph6sr4fh5jdaka

Heterogeneous Cloud Computing: The Way Forward

Stephen P. Crago, John Paul Walters
2015 Computer  
A major appeal of cloud computing is that it abstracts hardware architecture from both end users and programmers.  ...  TABLE 1 . 1 Heterogeneous datacenter architectures: support requirements for three cloud service models.  ... 
doi:10.1109/mc.2015.14 fatcat:chu656zg3ffcdcgum34vas3b2q

Transparent Heterogeneous Cloud Acceleration

Jessica Vandebon, Jose G. F. Coutinho, Wayne Luk, Thomas Chau
2019 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP)  
This work proposes a cloud computing platform (PaaS) with a novel micro-service architecture designed to support transparent acceleration on large-scaled heterogeneous cloud infrastructures with hardware  ...  accelerators such as FPGAs.  ...  To address the above challenges, we propose ORIAN, a heterogeneous PaaS platform that realises automatic, transparent acceleration onto large-scaled heterogeneous cloud infrastructures.  ... 
doi:10.1109/asap.2019.00-40 dblp:conf/asap/VandebonCLC19 fatcat:d4ozxgkjoneylfqsle3lvnapa4

ASIC Clouds: Specializing the Datacenter

Ikuo Magaki, Moein Khazraee, Luis Vega Gutierrez, Michael Bedford Taylor
2016 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)  
For those accelerators that need off-chip DRAM, we add shared DRAM controllers We propose a prototypical architecture for all ASIC clouds….  ...  We propose a prototypical architecture for all ASIC clouds….  ...  ASIC Cloud: Conclusions ASIC Clouds are a promising direction for deploying new kinds of accelerators targeting large, chronic workloads.  ... 
doi:10.1109/isca.2016.25 dblp:conf/isca/MagakiKGT16 fatcat:6nytmxfbxfan5ehufddr5hpc5u

ASIC clouds

Ikuo Magaki, Moein Khazraee, Luis Vega Gutierrez, Michael Bedford Taylor
2016 SIGARCH Computer Architecture News  
For those accelerators that need off-chip DRAM, we add shared DRAM controllers We propose a prototypical architecture for all ASIC clouds….  ...  We propose a prototypical architecture for all ASIC clouds….  ...  ASIC Cloud: Conclusions ASIC Clouds are a promising direction for deploying new kinds of accelerators targeting large, chronic workloads.  ... 
doi:10.1145/3007787.3001156 fatcat:w7zgmauc4vhhncxhbd5ehdtk5a

ASIC Clouds: Specializing the Datacenter

Moein Khazraee, Ikuo Magaki, Luis Vega Gutierrez, Michael Taylor
2017 IEEE Micro  
For those accelerators that need off-chip DRAM, we add shared DRAM controllers We propose a prototypical architecture for all ASIC clouds….  ...  We propose a prototypical architecture for all ASIC clouds….  ...  ASIC Cloud: Conclusions ASIC Clouds are a promising direction for deploying new kinds of accelerators targeting large, chronic workloads.  ... 
doi:10.1109/mm.2017.265085658 fatcat:zvm7krsrgrfdrhdrtj75soqjri

Acceleration-as-a-μService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs [article]

Dionysios Diamantopoulos, Raphael Polig, Burkhard Ringlein, Mitra Purandare, Beat Weiss, Christoph Hagleitner, Mark Lantz, Francois Abel
2021 arXiv   pre-print
Existing accelerator techniques for cloud sacrifice the consolidation benefits of microservices. This paper presents CloudiFi, a framework to deploy and compare accelerators as a cloud service.  ...  The evolution of cloud applications into loosely-coupled microservices opens new opportunities for hardware accelerators to improve workload performance.  ...  We defined a cloud architecture where microservices can access various accelerators for function offloading and acceleration. C.  ... 
arXiv:2106.06293v1 fatcat:jgb2haqsi5b6deg4372nvhdrom

Arch2030: A Vision of Computer Architecture Research over the Next 15 Years [article]

Luis Ceze, Mark D. Hill, Thomas F. Wenisch
2016 arXiv   pre-print
Five years ago, we released a white paper, 21st Century Computer Architecture, which influenced funding programs in both academia and industry.  ...  However, the former engines of such progress - Moore's Law and Dennard Scaling - are rapidly reaching the point of diminishing returns.  ...  "A reconfigurable fabric for accelerating large-scale datacenter services."  ... 
arXiv:1612.03182v1 fatcat:d36sywwubnh6dnirw2icyyciom

FaaM: FPGA-as-a-Microservice - A Case Study for Data Compression

David Ojika, Ann Gordon-Ross, Herman Lam, Bhavesh Patel, A. Forti, L. Betev, M. Litmaath, O. Smirnova, P. Hristov
2019 EPJ Web of Conferences  
In this paper, we present an ongoing effort to realize a high-performance FPGA-as-a-microservice (FaaM) architecture for the cloud.  ...  Our case study deploying a multithreaded, multi-user compression as a microservice using the FaaM architecture indicate that microservices-based FPGA acceleration can sustain high-performance compared  ...  Using an FPGA-as-a-microservice (FaaM) architecture for the cloud, FPGA accelerator functionality can be offered as a microservice, enabling application developers to easily leverage many microservice  ... 
doi:10.1051/epjconf/201921407029 fatcat:3z6eji6mj5azfgixp5uowjdu3i

Big Data Technology Accelerate Genomics Precision Medicine [article]

Hao Li
2017 arXiv   pre-print
This paper demonstrates how Intel Big Data Technology and Architecture help to facilitate and accelerate the genomics life science research in data store and utilization.  ...  And these big data technology can definitely be scaled to much more genomics life science partners in the world.  ...  Central Function with genomics knowledge share will be scaled as future commercial standard. It can definitely facilitate life science research and accelerate the genomics precision medicine.  ... 
arXiv:1701.09045v1 fatcat:wqtgbqso4fdczag42gf54vhq5e

Simulating Heterogeneous Clouds at Scale [chapter]

Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Charalampos S. Kouzinopoulos, Antonios T. Makaratzis, Dimitrios Tzovaras
2018 Heterogeneity, High Performance Computing, Self-Organization and the Cloud  
In this chapter, a review of existing cloud simulation frameworks is given along with an overview of the recently proposed CloudLightning simulation framework.  ...  Moreover, the parallel architecture and parallel implementation details of the CloudLightning simulator are presented along with the characteristics of the supported cloud architectures.  ...  Fig. 5. 1 1 Warehouse Scale Computer abstract architecture Fig. 5. 2 2 Abstract cloud architecture with multiple cells SIMULATING HETEROGENEOUS CLOUDS AT SCALE The operations performed by the Gateway  ... 
doi:10.1007/978-3-319-76038-4_5 fatcat:xghswln2ivh37gwn4ekfpk4t3y

6G Architecture to Connect the Worlds

Volker Ziegler, Harish Viswanathan, Hannu Flinck, Marco Hoffmann, Vilho Raisanen, Kimmo Hatonen
2020 IEEE Access  
resources from full scale data centers to special in-network HW accelerators.  ...  As described in the previous subsection, 5G architecture is increasingly cloud-native by design: Integrated and cloud native vRAN will be a key enabler of massive scale access transformation. C.  ... 
doi:10.1109/access.2020.3025032 fatcat:y32rfu5ypfg7zh5onziafyi664

Heterogeneous chip multiprocessor architectures for big data applications

Houman Homayoun
2016 Proceedings of the ACM International Conference on Computing Frontiers - CF '16  
A heterogeneous architecture integrates cores with various micro-architectures and accelerators to provide more opportunity for efficient workload mapping.  ...  The costs of building and running a computing server to process big data and the capacity to which we can scale it are driven in large part by those computational resources.  ...  HiBench [24] is a benchmark suite for Hadoop MapReduce. CloudCmp [25] use a systematic approach to benchmark various components of the cloud to compare cloud providers.  ... 
doi:10.1145/2903150.2908078 dblp:conf/cd/Homayoun16 fatcat:jf2cwmrykbhh5l4ivofvq6ormu

Message from the XtremeCLOUD 2018 Workshop Organizers

2018 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)  
Cloud Computing has prevailed as the computing model of choice for this class of applications, offering access to a wide pool of resources and scale-out capabilities.  ...  This fact hinders the performance and energy efficiency benefits that accelerators (GPUs, FPGAs, ASICs, etc.) and novel architectures could offer.  ... 
doi:10.1109/cloudcom2018.2018.00014 fatcat:2z5lohinhjd2zhqh2idjk7mhau

On the Optimization of Self-Organization and Self-Management Hardware Resource Allocation for Heterogeneous Clouds

Konstantinos M. Giannoutakis, Christos K. Filelis-Papadopoulos, George A. Gravvanis, Dimitrios Tzovaras
2021 Computers  
The CloudLightning architecture proposed recently introduced a dynamic way to provision heterogeneous cloud resources, by shifting the selection of underlying resources from the end-user to the system  ...  There is a tendency, during the last years, to migrate from the traditional homogeneous clouds and centralized provisioning of resources to heterogeneous clouds with specialized hardware governed in a  ...  The developed framework is applicable to cloud architectures that follow the Warehouse Scale Computer (WSC) architectural model [29] .  ... 
doi:10.3390/computers10110147 fatcat:uor6wxxgovawnd7zdrcyvxho2q
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