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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

Enhanced Heterogeneous Cloud: Transparent Acceleration and Elasticity

Jessica Vandebon, Jose G. F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Mishali Naik
2019 2019 International Conference on Field-Programmable Technology (ICFPT)  
In particular, we focus on two mechanisms: transparent acceleration, which automatically maps jobs to the most suitable resource configuration, and heterogeneous elasticity, which performs automatic vertical  ...  This paper presents ORIAN, a fully-managed Platform-as-a-Service (PaaS) for deploying high-level applications onto large-scale heterogeneous cloud infrastructures.  ...  acceleration and elasticity on a heterogeneous cloud platform (Section IV).  ... 
doi:10.1109/icfpt47387.2019.00027 dblp:conf/icfpt/VandebonCLNN19 fatcat:iq7nrrwdirbu5d6jajzj325fwu

Heterogeneous Secure Multi-level Remote Acceleration Service for Low-power Integrated Systems and Devices

Lara López, Francisco Javier Nieto, Terpsichori-Helen Velivassaki, Sokol Kosta, Cheol-Ho Hong, Raffaele Montella, Iakovos Mavroidis, Carles Fernández
2016 Procedia Computer Science  
This position paper presents a novel heterogeneous CPU-GPU multi-level cloud acceleration focusing on applications running on embedded systems found on low-power devices.  ...  Moreover, it proposes, for the first time, a secure unified model where almost any device or infrastructure can operate as an accelerated entity and/or as an accelerator serving other less powerful devices  ...  In addition, this novel architecture will provide innovative opportunities to Cloud providers by introducing the concept of Acceleration as a Service (AAS), which opens the door for heterogeneous architecture-based  ... 
doi:10.1016/j.procs.2016.08.287 fatcat:bslxlilnknb6zdvtn3v5ntdrfi

THOR: A Transparent Heterogeneous Open Resource framework

J. L. Vazquez-Poletti, J. Perhac, J. Ryan, A. C. Elster
2010 2010 IEEE International Conference On Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS)  
This paper describes THOR (Transparent Heterogeneous Open Resources), our framework for providing seamless access to HPC systems composed of heterogeneous resources.  ...  Heterogeneous computing which includes mixed architectures with multi-core CPUs as well as hardware accelerators such as GPU hardware, is needed to satisfy future computational needs and energy requirements  ...  For this reason we have taken the principle of cloud computing into account for the design of THOR, which stands for Transparent heterogeneous Open Resources, a platform providing flexible and on-demand  ... 
doi:10.1109/clusterwksp.2010.5613099 fatcat:il5ipe4dnnfi5ebtof2r5ds3gm

D2.3: System Architecture

Christoforos Kachris, Angelos Bilas, Nikos Chrysos, Hans Vandierendonck
2017 Zenodo  
VINEYARD's goal is to both develop energy efficient hardware-accelerated servers and to develop the required framework for the seamless utilization of these servers in the programming frameworks that are  ...  VINEYARD proposes new approaches to integrating accelerators in datacenter environments and to dealing with heterogeneity and transparency issues.  ...  EXECUTIVE SUMMARY VINEYARD aims at making accelerators easy and transparent to use for the purpose of significantly improving infrastructure efficiency while achieving application-side Quality of Service  ... 
doi:10.5281/zenodo.898155 fatcat:gjqv2gfngfev3bmmrlxycgzv64

Superfluidity Project Poster

Nicola Blefari Melazzi, Federico Maria Pandolfi
2018 Zenodo  
Benefits: -location-independence: network services deployable in heterogeneous networks -time-independence: near instantaneous deployment and migration of services -scale-independence: transparent service  ...  Cloud RAN, RFB decomposition,...)  ... 
doi:10.5281/zenodo.1213127 fatcat:jahxmvfgbreyxdkk2vtr6ntl2q

Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks

Maria Xekalaki, Juan Fumero, Christos Kotselidis
2018 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)  
transparently to the user and without sacrificing programmability.  ...  Although initially the majority of data centers were utilizing only CPU resources, nowadays we can find heterogeneous accelerators such as GPUs and FPGAs.  ...  Although such heterogeneous cloud deployments are public and ready-to-use, Big Data platforms can not currently exploit them in a transparent manner.  ... 
doi:10.1109/cloudcom2018.2018.00070 dblp:conf/cloudcom/XekalakiFK18 fatcat:odsouiwyefhxvkvkgkjr2aukgy

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures [article]

Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie
2018 arXiv   pre-print
In this paper, we propose PIRT, the first robotic runtime framework to efficiently manage dynamic task executions on mobile systems with multiple accelerators as well as on the cloud to achieve better  ...  The core problem is two-fold: firstly, different robotic tasks require different accelerators, and secondly, managing multiple accelerators simultaneously is overwhelming for developers.  ...  To bridge the gap between robotic applications and heterogeneous hardware, P-RT provides a transparent programming interface for users to submit tasks without knowing the details in heterogeneous hardware  ... 
arXiv:1802.08359v1 fatcat:wwcfev7ujvbljb3wqeki3btpcy

A systems perspective on GPU computing

Naila Farooqui
2016 Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit - GPGPU '16  
His vision encompassed the conceptualization, implementation, and demonstration of systems abstractions and runtime methods to elevate GPUs into first-class citizens in today's and future heterogeneous  ...  data-center systems, and edge cloud/mobile-cloud systems.  ...  The Pegasus [16] system is the first of its kind to advocate uniform resource usage models for all cores on heterogeneous chip multiprocessors, including accelerators such as GPUs.  ... 
doi:10.1145/2884045.2884057 dblp:conf/ppopp/Farooqui16 fatcat:lcxhf6nfsvannnbp5lusxudmmu

Towards practical heterogeneous virtual machines

James Clarkson, Juan Fumero, Michail Papadimitriou, Maria Xekalaki, Christos Kotselidis
2018 Conference Companion of the 2nd International Conference on Art, Science, and Engineering of Programming - Programming'18 Companion  
Heterogeneous computing has emerged as a means to achieve high performance and energy efficiency.  ...  This paper highlights the main reasons and complexities of enabling heterogeneous managed runtime systems and proposes a number of directions to address those challenges.  ...  This allows adaptability and transparency of applications when running on heterogeneous hardware.  ... 
doi:10.1145/3191697.3191730 dblp:conf/programming/ClarksonFPXK18 fatcat:h2e2hc4rlja67dwpgtw3zqsim4

The Italian research on HPC key technologies across EuroHPC

Marco Aldinucci, Giovanni Agosta, Antonio Andreini, Claudio A. Ardagna, Andrea Bartolini, Alessandro Cilardo, Biagio Cosenza, Marco Danelutto, Roberto Esposito, William Fornaciari, Roberto Giorgi, Davide Lengani (+5 others)
2021 Proceedings of the 18th ACM International Conference on Computing Frontiers  
HPC cloud services. HPC and cloud are convergent technologies.  ...  Furthermore, it will be essential to ensure the possibility of integrating support for accelerators (even of different types) transparently. Compilers.  ... 
doi:10.1145/3457388.3458508 fatcat:nbnzfa2frvbpflj6tcbsk4bwcq

At the Edge of a Seamless Cloud Experience [article]

Samuel Rac, Mats Brorsson
2021 arXiv   pre-print
The traditional cloud computing paradigm can not meet this requirement, legitimizing the need for a new paradigm.  ...  We propose to use technologies like containers and WebAssembly to manage applications' execution on heterogeneous devices.  ...  To have a seamless cloud experience, Cloudlet, traditional Cloud, and Mobile devices have to work in synergy. Offloading on Cloudlet or traditional Cloud should be transparent for the end-user.  ... 
arXiv:2111.06157v1 fatcat:khos7gl7l5drpgv5x4mgdrfjum

The VINEYARD Approach: Versatile, Integrated, Accelerator-Based, Heterogeneous Data Centres [chapter]

Christoforos Kachris, Dimitrios Soudris, Georgi Gaydadjiev, Huy-Nam Nguyen, Dimitrios S. Nikolopoulos, Angelos Bilas, Neil Morgan, Christos Strydis, Christos Tsalidis, John Balafas, Ricardo Jimenez-Peris, Alexandre Almeida
2016 Lecture Notes in Computer Science  
This programming framework will, further, allow the hardware accelerators to be swapped in and out of the heterogeneous infrastructure so as to o↵er high flexibility and energy e ciency.  ...  It will, also, build a high-level programming framework for allowing end-users to seamlessly utilize these accelerators in heterogeneous computing systems by employing typical data-centre programming frameworks  ...  utilize the accelerators as an additional cloud resource.  ... 
doi:10.1007/978-3-319-30481-6_1 fatcat:4yvigra2w5aa7dakazch6x3qni

Heterogeneous Resource Management and Orchestration in Cloud Environments [chapter]

Dapeng Dong, Huanhuan Xiong, Gabriel G. Castañé, Paul Stack, John P. Morrison
2018 Communications in Computer and Information Science  
The accelerated uptake of heterogeneous resources is exacerbating these challenges, which no longer can be efficiently addressed in an ad-hoc manner.  ...  The addition of heterogeneous resources to conventional homogeneous cloud environments has enabled clouds to embrace a wide variety of new applications that heretofore were traditionally confined to specialized  ...  To efficiently and effectively manage an heterogeneous cloud as an holistic entity, re-consideration of physical server design (incl. on-board computation accelerator integration, a good balance between  ... 
doi:10.1007/978-3-319-94959-8_4 fatcat:7eoeuexrt5amdd2eirvhlfhsai

DeepHealth perspective on HPC, Big Data, IoT and AI future industry-driven collaborative strategic topics

Monica Caballero, Jon A. Gomez
2021 Zenodo  
In particular it is described the impact, the challenges and the DeepHealth approach to four highlighted topics addressed in the session: Data, Workflows, HPC-Cloud Infrastructure and AI-ML training.  ...  infrastructure / AI-ML training Data Workflows Impact-Challenges DeepHealth contributions • Transparent use of heterogenous HPC (featuring CPU, GPUs, FPGAs, and other HW accelerators) and Cloud  ...  • Promote a "cloudified approach" to HPC • DeepHealth toolkit including ECV and EDDL libraries ready to run on HPC/Cloud infrastructures in a transparent way for computer/data scientist working  ... 
doi:10.5281/zenodo.4670289 fatcat:gtajq265cralvnwlngsxr5332e
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