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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  ...  are developed for the efficient integration of the hardware platforms.  ...  IBM SupperVessel FPGAs in the Cloud In 1 , a general framework is proposed for integrating FPGAs into the cloud by IBM.  ... 
doi:10.5281/zenodo.898155 fatcat:gjqv2gfngfev3bmmrlxycgzv64

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  
VINEYARD aims to develop an integrated platform for energy-e cient data centres based on new servers with novel, coarse-grain and fine-grain, programmable hardware accelerators.  ...  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.  ...  Acknowledgment This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 687628.  ... 
doi:10.1007/978-3-319-30481-6_1 fatcat:4yvigra2w5aa7dakazch6x3qni

Vineyard D1.1 Public Project Presentation

Christoforos Kachris, Dimitrios Soudris
2016 Zenodo  
VINEYARD D1.1 Public Project Presentation  ...  VINEYARD will be the development of novel programmable dataflow engines (hardware accelerators) based on coarse-grain programmable components that can be coupled to servers' processor in heterogeneous  ...  Objectives • Objective 3: Development of an open-source integrated programming framework that can be used for the programming of heterogeneous systems consisting of general purpose processors (CPUs), and  ... 
doi:10.5281/zenodo.51477 fatcat:ccyugtpi7neh5dn7mka2vnv4ai

Accelerating Data Center Applications With Reconfigurable Dataflow Engines

SAKIL BARBHUIYA, YUN WU, Karen Murphy, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos
2016 Zenodo  
Integrating the accelerators in the software stacks of cloud-based data analytics frameworks is, however, an open issue.  ...  The goal of this work is to achieve seamless integration of accelerators in data analytics programming frameworks.  ...  APPROACH Programmable accelerators have not yet been integrated well in the software stacks of multi-core programming frameworks used in cloud-based data analytics.  ... 
doi:10.5281/zenodo.801521 fatcat:lwu5s5g5sbe3bimwdgmpux7mj4

Spark Acceleration On Fpgas: A Use Case On Machine Learning In Pynq

Elias Koromilas, Ioannis Stamelos, Christoforos Kachris, Soudris. Dimitrios
2017 Zenodo  
In this paper, we present Spynq: A framework for the efficient deployment of data analytics on embedded systems that are based on the heterogeneous MPSoC FPGA called Pynq.  ...  Spark is one of the most widely used frameworks for data analytics. Spark allows fast development for several applications like machine learning, graph computations, etc.  ...  In [6] , a novel approach for integrating virtualized FPGAbased hardware resources into cloud computing systems with minimal overhead.  ... 
doi:10.5281/zenodo.801507 fatcat:d4cav7b3dre3vkrpvhieqde2au

D4.1 Programming Language And Runtime System: Requirements

Hans Vandierendonck
2016 Zenodo  
This document elaborates the requirements for the VINEYARD programming model and runtime system.  ...  One of the components in the VINEYARD is the programming model and runtime system support, which is developed in Work Package 4.  ...  It is necessary to integrate accelerator programming models for the supported accelerators in the VINEYARD programming model.  ... 
doi:10.5281/zenodo.898162 fatcat:h4qoibk26vfzdao5badtj6fdie

Spynq: Acceleration Of Machine Learning Applications Over Spark On Pynq

Christoforos Kachris, Elias Koromilas, Ioannis Stamelos, Dimitrios Soudris
2017 Zenodo  
In this paper, we present SPynq: A framework for the efficient utilization of hardware accelerators over the Spark framework on heterogeneous MPSoC FPGAs, such as Zynq.  ...  Spark has been mapped to the Pynq platform and the proposed framework allows the seamless utilization of the programmable logic for the hardware acceleration of computational intensive Spark kernels.  ...  In [7] , an integrated framework is presented for the efficient utilization of hardware accelerators under the Spark framework.  ... 
doi:10.5281/zenodo.836712 fatcat:dynuug3zanfypgywhb5qmofpnq

dReDBox: A Disaggregated Architectural Perspective for Data Centers [chapter]

Nikolaos Alachiotis, Andreas Andronikakis, Orion Papadakis, Dimitris Theodoropoulos, Dionisios Pnevmatikatos, Dimitris Syrivelis, Andrea Reale, Kostas Katrinis, George Zervas, Vaibhawa Mishra, Hui Yuan, Ilias Syrigos (+4 others)
2018 Hardware Accelerators in Data Centers  
Memory and hardware accelerators can be dynamically assigned to processing units to boost application performance, while high-speed, low-latency electrical and optical interconnect is a prerequisite for  ...  This chapter presents the dReDBox hardware architecture and discusses design aspects of the software infrastructure for resource allocation and management.  ...  Acknowledgements This work was supported in part by EU H2020 ICT project dRedBox, contract #687632.  ... 
doi:10.1007/978-3-319-92792-3_3 fatcat:3aleh7wb2jfu5fhriswistv5oy

D5.1: Accelerator Deployment Models

Eleni Kanellou, Nikolaos Chrysos, Angelos Bilas, Christoforos Kachris
2017 Zenodo  
In this deliverable, we explore this question by studying accelerator deployment models. Under accelerator, we understand for example application-specific GPUs or specially programmed FPGAs.  ...  A deployment specifies types, amount, and connectivity of accelerators in a datacenter.  ...  A general framework for integrating FPGAs into the cloud is proposed by IBM 4 .  ... 
doi:10.5281/zenodo.898170 fatcat:l6gfsswmbbg7niupwnix7tfmjm

OmpSs@FPGA framework for high performance FPGA computing

Juan Miguel Deharo, Jaume Bosch, Antonio Filgueras, Miquel Vidal Pinol, Daniel Jimenez-Gonzalez, Carlos Alvarez, Xavier Martorell, Eduard Ayguade, Jesus Labarta
2021 IEEE transactions on computers  
that saves redundant memory copies in the FPGA accelerators. • A new way to pipeline computations and memory accesses inside FPGA accelerators. • A new complete hardware runtime that in conjunc-  ...  In addition, part of the Nanos++ runtime has been ported to hardware.  ...  In addition to the above, the compiler integrates an advanced hardware runtime to handle tasks created both from hardware accelerators and CPU.  ... 
doi:10.1109/tc.2021.3086106 fatcat:hmroqubflbffzire7fnsvabssi

On the Energy-Efficiency of Byte-Addressable Non-Volatile Memory

Hans Vandierendonck, Ahmad Hassan, Dimitrios S. Nikolopoulos
2015 IEEE computer architecture letters  
The VINEYARD Approach: Versatile, Integrated, Accelerator-Based, Heterogeneous Data Centres. In: Proceedings of the 12th International Symposium on Applied Reconfigurable Computing (ARC). Vol. 9625.  ...  A Lightweight Tool for Anomaly Detection in Cloud Data Centres. In: Proceedings of the Fifth International Conference on Cloud Computing and Services Science (CLOSER).  ... 
doi:10.1109/lca.2014.2355195 fatcat:35mkkiczcnd5thic5aqpwodiry

Crop Management with the IoT: An Interdisciplinary Survey

Giuliano Vitali, Matteo Francia, Matteo Golfarelli, Maurizio Canavari
2021 Agronomy  
Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services.  ...  The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/agronomy11010181 fatcat:hklrmi3aovccvgfell6r4bfkcm

Precision Agriculture Workflow, from Data Collection to Data Management Using FOSS Tools: An Application in Northern Italy Vineyard

Elena Belcore, Stefano Angeli, Elisabetta Colucci, Maria Angela Musci, Irene Aicardi
2021 ISPRS International Journal of Geo-Information  
A vineyard in Northern Italy is used as an example to show the workflow of data generation and the data structure of the web tool.  ...  In this framework, geographic information, and spatial data and tools such as UAVs (Unmanned Aerial Vehicles) and multispectral optical sensors play a crucial role in the geomatics as support techniques  ...  The authors would like to acknowledge "Dipartimento di Scienze Agrarie, Forestali e Alimentari" (DISAFA) of Università di Torino for giving the chance to use their vineyards as study cases.  ... 
doi:10.3390/ijgi10040236 fatcat:dogsoielwrhbxnqu7s7x2llc64

2020 Index IEEE Transactions on Automation Science and Engineering Vol. 17

2020 IEEE Transactions on Automation Science and Engineering  
., +, TASE Jan. 2020 296-309 Multirobot Routing Algorithms for Robots Operating in Vineyards.  ...  ., +, TASE April 2020 809-822 Multirobot Routing Algorithms for Robots Operating in Vineyards.  ...  Project management Solving the Tree-Structured Task Allocation Problem via Group Multirole Assignment.  ... 
doi:10.1109/tase.2020.3037603 fatcat:kyt63444lfc45amrjebyjw34qu

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

Charith Perera, Chi Harold Liu, Srimal Jayawardena
2015 IEEE Transactions on Emerging Topics in Computing  
This survey is intended to serve as a guideline and conceptual framework for future research in the IoT and to motivate and inspire further developments.  ...  and smart appliances that are becoming an integral component of the future internet.  ...  For example, sensing hardware platform designers are partnering with cloud IoT solution providers.  ... 
doi:10.1109/tetc.2015.2390034 fatcat:cjnoqqlw3jh4pcczhiya6qa3hy
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