Algorithmes et architectures adaptatifs pour les systèmes de communication sans fil efficaces en énergie. (Adaptive algorithms and architectures for energy-efficient wireless systems)

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Algorithmes et architectures adaptatifs pour les systèmes de communication sans fil efficaces en énergie Matthieu Gautier

[1]  Shusen Yang,et al.  Distributed Networking in Autonomic Solar Powered Wireless Sensor Networks , 2013, IEEE Journal on Selected Areas in Communications.

[2]  Olivier Berder,et al.  PowWow : Power Optimized Hardware/Software Framework for Wireless Motes , 2010, ARCS Workshops.

[3]  Karthikeyan Sankaralingam,et al.  Dark Silicon and the End of Multicore Scaling , 2012, IEEE Micro.

[4]  Manav R. Bhatnagar,et al.  Imperfect-quantized-feedback-based beamforming for an FSO MISO system over Gamma-Gamma fading with pointing errors , 2017, IEEE/OSA Journal of Optical Communications and Networking.

[5]  David Klein,et al.  Implementing Situation Awareness for Car-to-X Applications Using Domain Specific Languages , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[6]  Richard S. Sutton,et al.  Learning to predict by the methods of temporal differences , 1988, Machine Learning.

[7]  Pekka Pirinen,et al.  A brief overview of 5G research activities , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[8]  Michele Magno,et al.  A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks , 2017, IEEE/ACM Transactions on Networking.

[9]  R.H. Dennard,et al.  Design Of Ion-implanted MOSFET's with Very Small Physical Dimensions , 1974, Proceedings of the IEEE.

[10]  Andrew G. Barto,et al.  Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[11]  Nguyen-Ti Ti,et al.  Blind I/"Q Imbalance Compensation for M-QAM Optical Coherent Systems Based on Pseudo-Rotation , 2016 .

[12]  E. D. Willink,et al.  The waveform description language: moving from implementation to specification , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[13]  Ove Edfors,et al.  Performance Analysis and Energy Optimization of Wake-Up Receiver Schemes for Wireless Low-Power Applications , 2014, IEEE Transactions on Wireless Communications.

[14]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[15]  Ronan Farrell,et al.  Optimal Communication-Computation Tradeoff for Wireless Multimedia Sensor Network Lifetime Maximization , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[16]  Olivier Berder,et al.  Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks , 2017, IEEE Wireless Communications Letters.

[17]  Lothar Thiele,et al.  Zippy: On-Demand Network Flooding , 2015, SenSys.

[18]  Eric Anderson,et al.  X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks , 2006, SenSys '06.

[19]  Daniel Cordes,et al.  Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming , 2010, 2010 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

[20]  Sadok Bdiri,et al.  An ultra-low power wake up receiver with flip flops based address decoder , 2015, 2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15).

[21]  David Atienza,et al.  Prediction and management in energy harvested wireless sensor nodes , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[22]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[23]  Olivier Berder,et al.  Minimal distance approach for studying multi-form MIMO precoders, application to finite-SNR DMT , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[25]  G. Fiscelli,et al.  An FPGA-Based Software Defined Radio Platform for the 2.4GHz ISM Band , 2006, 2006 Ph.D. Research in Microelectronics and Electronics.

[26]  Michele Magno,et al.  Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication , 2016, 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[27]  S. Peng,et al.  Prediction free energy neutral power management for energy harvesting wireless sensor nodes , 2014, Ad Hoc Networks.

[28]  Gerhard P. Fettweis,et al.  The Tactile Internet: Applications and Challenges , 2014, IEEE Vehicular Technology Magazine.

[29]  Ilker Demirkol,et al.  Design, development, and performance evaluation of a low-cost, low-power wake-up radio system for wireless sensor networks , 2013, TOSN.

[30]  Olivier Berder,et al.  Power Manager with PID Controller in Energy Harvesting Wireless Sensor Networks , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[31]  Michele Magno,et al.  Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[32]  T. O'Donnell,et al.  Energy scavenging for long-term deployable wireless sensor networks. , 2008, Talanta.

[33]  Pascal Scalart,et al.  Blind transmitter IQ imbalance compensation in M-QaM optical coherent systems , 2017, IEEE/OSA Journal of Optical Communications and Networking.

[34]  Li Chen,et al.  REACH2-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node , 2015, TOSN.

[35]  Pascal Scalart,et al.  Bi-harmonic decomposition-based maximum loglikelihood estimator for carrier phase estimation of coherent optical M-QAM , 2016, 2016 Optical Fiber Communications Conference and Exhibition (OFC).

[36]  Michele Magno,et al.  Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[37]  Emmanuel Casseau,et al.  Demo abstract: FPGA-based implementation of a flexible FFT dedicated to LTE standard , 2016, 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP).

[38]  T. Ulversoy,et al.  Software Defined Radio: Challenges and Opportunities , 2010, IEEE Communications Surveys & Tutorials.

[39]  Monica S. Lam,et al.  A Loop Transformation Theory and an Algorithm to Maximize Parallelism , 1991, IEEE Trans. Parallel Distributed Syst..

[40]  Rudy Lauwereins,et al.  A Coarse-Grained Array Accelerator for Software-Defined Radio Baseband Processing , 2008, IEEE Micro.

[41]  Mohamed I. Elmasry,et al.  VLSI design synthesis with testability , 1988, 25th ACM/IEEE, Design Automation Conference.Proceedings 1988..

[42]  Fabien Clermidy,et al.  An Open and Reconfigurable Platform for 4G Telecommunication: Concepts and Application , 2009, 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools.

[43]  V.R. Petty,et al.  KUAR: A Flexible Software-Defined Radio Development Platform , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[44]  Olivier Berder,et al.  Demo Abstract: How Fuzzy Logic can enhance Energy Management in autonomous Wireless Sensor Nodes ? , 2016 .

[45]  Daniel P. Siewiorek,et al.  Automated Synthesis of Data Paths in Digital Systems , 1986, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[46]  Guanrong Chen,et al.  Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems , 2000 .

[47]  Olivier Berder,et al.  Energy-Efficient Power Manager and MAC Protocol for Multi-Hop Wireless Sensor Networks Powered by Periodic Energy Harvesting Sources , 2015, IEEE Sensors Journal.

[48]  Olivier Berder,et al.  OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs , 2016, J. Sensors.

[49]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[50]  Hao-Li Wang,et al.  A Reinforcement Learning-Based ToD Provisioning Dynamic Power Management for Sustainable Operation of Energy Harvesting Wireless Sensor Node , 2014, IEEE Transactions on Emerging Topics in Computing.

[51]  Eric Lemoine,et al.  Run time reconfiguration of FPGA for scanning genomic databases , 1995, Proceedings IEEE Symposium on FPGAs for Custom Computing Machines.

[52]  Olivier Berder,et al.  Poster: Multi-source Energy Harvesting for IoT nodes , 2016 .

[53]  Emmanuel Casseau,et al.  On the FPGA-Based Implementation of a Flexible Waveform from a High-Level Description: Application to LTE FFT Case Study , 2016, CrownCom.

[54]  Xenofon Fafoutis,et al.  Analytical comparison of MAC schemes for Energy Harvesting — Wireless Sensor Networks , 2012, 2012 Ninth International Conference on Networked Sensing (INSS).

[55]  Trevor Mudge,et al.  SPEX: A Programming Language for Software Defined Radio , 2006 .

[56]  Manav R. Bhatnagar,et al.  Order statistics based diagonal precoding for 4 × 1 MISO system with real orthogonal space time block codes , 2016, 2016 International Conference on Signal Processing and Communications (SPCOM).

[57]  Yishay Mansour,et al.  Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.

[58]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.

[59]  Michele Magno,et al.  A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication , 2016, 2016 Euromicro Conference on Digital System Design (DSD).

[60]  Alan Edelman,et al.  Julia: A Fresh Approach to Numerical Computing , 2014, SIAM Rev..

[61]  W. Warta,et al.  Solar cell efficiency tables (Version 45) , 2015 .

[62]  Dominique Barthel,et al.  1-hopMAC: An Energy-Efficient MAC Protocol for Avoiding 1 -hop Neighborhood Knowledge , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[63]  Olivier Berder,et al.  Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks , 2017 .

[64]  Manav R. Bhatnagar,et al.  Quantized Feedback-Based Diagonal Precoding for $N \times 1$ MISO System With Generalized Orthogonal Space-Time Block Codes , 2018, IEEE Transactions on Communications.

[65]  Olivier Berder,et al.  A single sediment-microbial fuel cell powering a wireless telecommunication system , 2013 .

[66]  Pascal Scalart,et al.  Blind adaptive transmitter IQ imbalance compensation in M-QAM optical coherent systems , 2016, 2016 IEEE International Conference on Communications (ICC).

[67]  Mary Ann Weitnauer,et al.  Comparison of energy update models for wireless sensor nodes with supercapacitors , 2013, ENSSys '13.

[68]  Rainer Leupers,et al.  MAPS: An integrated framework for MPSoC application parallelization , 2008, 2008 45th ACM/IEEE Design Automation Conference.

[69]  Debasish Ghose,et al.  MAC Protocols for Wake-Up Radio: Principles, Modeling and Performance Analysis , 2018, IEEE Transactions on Industrial Informatics.

[70]  Dale J. Mortensen,et al.  Space Telecommunications Radio System (STRS) Architecture Standard. Release 1.02.1 , 2012 .

[71]  E. Grayver,et al.  SDRPHY - XML description for SDR physical layer , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[72]  Djamel Djenouri,et al.  MAC Protocols With Wake-Up Radio for Wireless Sensor Networks: A Review , 2017, IEEE Communications Surveys & Tutorials.

[73]  Gu-Yeon Wei,et al.  The Aladdin Approach to Accelerator Design and Modeling , 2015, IEEE Micro.

[74]  Kai Li,et al.  The PARSEC benchmark suite: Characterization and architectural implications , 2008, 2008 International Conference on Parallel Architectures and Compilation Techniques (PACT).

[75]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[76]  Hidema Tanaka,et al.  Information Leakage Via Electromagnetic Emanations and Evaluation of Tempest Countermeasures , 2007, ICISS.

[77]  Kevin Marquet,et al.  Software defined radio architecture survey for cognitive testbeds , 2012, 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC).

[78]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[79]  Victor Uc Cetina,et al.  Reinforcement learning in continuous state and action spaces , 2009 .

[81]  J. Palicot,et al.  Partial Reconfiguration of FPGAs for Dynamical Reconfiguration of a Software Radio Platform , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[82]  Olivier Berder,et al.  Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning , 2017, 2017 IEEE International Conference on Communications (ICC).

[83]  Chiara Petrioli,et al.  GreenCastalia: an energy-harvesting-enabled framework for the Castalia simulator , 2013, ENSSys '13.

[84]  Kees Moerman,et al.  Vector Processing as an Enabler for Software-Defined Radio in Handheld Devices , 2005, EURASIP J. Adv. Signal Process..

[85]  Antoine Courtay,et al.  Sélection d'ancres pour localisation en intérieur par réseaux radios UWB , 2017 .

[86]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[87]  Olivier Berder,et al.  Fuzzy power management for energy harvesting Wireless Sensor Nodes , 2016, 2016 IEEE International Conference on Communications (ICC).

[88]  Elyes Ben Hamida,et al.  A Heuristic Self-Adaptive Medium Access Control for Resource-Constrained WBAN Systems , 2016, IEEE Access.

[89]  Chenyang Lu,et al.  A component-based architecture for power-efficient media access control in wireless sensor networks , 2007, SenSys '07.

[90]  Olivier Berder,et al.  Green communication via cooperative protocols using message-passing decoder over additive white Gaussian noise channels , 2017, IET Commun..

[91]  Kin K. Leung,et al.  MAC Essentials for Wireless Sensor Networks , 2010, IEEE Communications Surveys & Tutorials.

[92]  Jan M. Rabaey,et al.  Power-efficient rendez-vous schemes for dense wireless sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[93]  Kay Römer,et al.  Perpetual Data Collection with Energy-Harvesting Sensor Networks , 2014, TOSN.

[94]  Cécile Belleudy,et al.  A framework for modeling and simulating energy harvesting WSN nodes with efficient power management policies , 2012, EURASIP J. Embed. Syst..

[95]  C. Peucheret,et al.  Feedforward Weighted-Samples Based Carrier Frequency Offset Compensation in Optical Coherent M-QAM Systems , 2017, 2017 European Conference on Optical Communication (ECOC).

[96]  Athanassios Boulis,et al.  Castalia: revealing pitfalls in designing distributed algorithms in WSN , 2007, SenSys '07.

[97]  Michael S. Berger,et al.  Cloud RAN for Mobile Networks—A Technology Overview , 2015, IEEE Communications Surveys & Tutorials.

[98]  W. Altemeier,et al.  Miscellaneous , 1848, Brain Research.

[99]  Tanguy Risset,et al.  FPGA-based Implementation of Multiple PHY Layers of IEEE 802.15.4 Targeting SDR Platform , 2014 .

[100]  Olivier Berder,et al.  Mutual information approximation of CSI-T MIMO precoders based on minimal distance probability , 2016, 2016 IEEE International Conference on Communications (ICC).

[101]  Michele Magno,et al.  An ultra low power high sensitivity wake-up radio receiver with addressing capability , 2014, 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[102]  J. Mitola,et al.  Software radios: Survey, critical evaluation and future directions , 1992, IEEE Aerospace and Electronic Systems Magazine.

[103]  Luca Benini,et al.  Algorithms for harvested energy prediction in batteryless wireless sensor networks , 2009, 2009 3rd International Workshop on Advances in sensors and Interfaces.

[104]  Olivier Berder,et al.  Architecture exploration of multi-source energy harvester for IoT nodes , 2016, 2016 IEEE Online Conference on Green Communications (OnlineGreenComm).

[105]  Louise H. Crockett,et al.  The Zynq Book: Embedded Processing with the Arm Cortex-A9 on the Xilinx Zynq-7000 All Programmable Soc , 2014 .

[106]  G. Fettweis,et al.  A fully programmable 40 GOPS SDR single chip baseband for LTE/WiMAX terminals , 2008, ESSCIRC 2008 - 34th European Solid-State Circuits Conference.

[107]  Antoine Courtay,et al.  Demo Abstract : Zyggie: Wireless Sensor Node Prototype for Tracking and Gesture Recognition , 2016 .

[108]  Michele Magno,et al.  WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication , 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

[109]  Gustavo Medeiros de Araújo,et al.  Genetic Machine Learning Approach for Link Quality Prediction in Mobile Wireless Sensor Networks , 2014, Cooperative Robots and Sensor Networks.

[110]  Gil Zussman,et al.  Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms , 2011, IEEE Transactions on Mobile Computing.

[111]  Sergio Barbarossa,et al.  Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks , 2014, IEEE Signal Processing Magazine.

[112]  Chiara Petrioli,et al.  Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks , 2012, 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012).

[113]  Rabéa Ameur-Boulifa,et al.  DiplodocusDF, a Domain-Specific Modelling Language for Software Defined Radio Applications , 2012, 2012 38th Euromicro Conference on Software Engineering and Advanced Applications.

[114]  Kazutoshi Wakabayashi C-based behavioral synthesis and verification analysis on industrial design examples , 2004, ASP-DAC.

[115]  Julien Penders,et al.  Energy Harvesting for Autonomous Wireless Sensor Networks , 2010, IEEE Solid-State Circuits Magazine.

[116]  Adrian M. Ionescu,et al.  Guardian Angels for a Smarter Life: Enabling a Zero-Power Technological Platform for Autonomous Smart Systems , 2011, FET.

[117]  Rajeev Piyare,et al.  Ultra Low Power Wake-Up Radios: A Hardware and Networking Survey , 2017, IEEE Communications Surveys & Tutorials.

[118]  Dimitri Ktenas,et al.  Block-filtered OFDM: A new promising waveform for multi-service scenarios , 2017, 2017 IEEE International Conference on Communications (ICC).

[119]  Ganda Stephane Ouedraogo,et al.  Automatic synthesis of hardware accelerator from high-level specifications of physical layers for flexible radio , 2014 .

[120]  Jacques Palicot,et al.  De la radio logicielle à la radio intelligente , 2008 .

[121]  Faisal Karim Shaikh,et al.  Energy harvesting in wireless sensor networks: A comprehensive review , 2016 .

[122]  Robert Babuska,et al.  A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[123]  Olivier Berder,et al.  Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks , 2015, ACM J. Emerg. Technol. Comput. Syst..

[124]  Lei Tang,et al.  PW-MAC: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks , 2011, 2011 Proceedings IEEE INFOCOM.

[125]  Samuel Williams,et al.  The Landscape of Parallel Computing Research: A View from Berkeley , 2006 .

[126]  F. Aoudia,et al.  Comment bénéficier de la wake-up radio pour les réseaux de capteurs à récupération d'énergie? , 2016 .

[127]  Michele Magno,et al.  Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver , 2016, IEEE Transactions on Industrial Informatics.

[128]  Bertrand Le Gal,et al.  Design of multi-mode application-specific cores based on high-level synthesis , 2012, Integr..

[129]  Yu-ichi Hayashi,et al.  Remote Visualization of Screen Images Using a Pseudo-Antenna That Blends Into the Mobile Environment , 2017, IEEE Transactions on Electromagnetic Compatibility.

[130]  Ronan Keryell,et al.  Par4All: From Convex Array Regions to Heterogeneous Computing , 2012, HiPEAC 2012.

[131]  Romuald Rocher,et al.  Fast Integer Word-length Optimization for Fixed-point Systems , 2016, J. Signal Process. Syst..

[132]  Michele Magno,et al.  SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks , 2016, S-CUBE.

[133]  François Charot,et al.  GeCoS: A framework for prototyping custom hardware design flows , 2013, 2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM).

[134]  Jari Nurmi,et al.  State of the art baseband DSP platforms for Software Defined Radio: A survey , 2011, EURASIP J. Wirel. Commun. Netw..

[135]  Ilker Demirkol,et al.  Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks? , 2016, IEEE/ACM Transactions on Networking.

[136]  Olivier Berder,et al.  FTA-MAC: Fast Traffic Adaptive Energy Efficient MAC Protocol for Wireless Sensor Networks , 2016, CrownCom.

[137]  Olivier Sentieys,et al.  Communication-Based Power Modelling for Heterogeneous Multiprocessor Architectures , 2016, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC).

[138]  Manav R. Bhatnagar,et al.  Improved beamforming for FSO MISO system over gamma-gamma fading with pointing errors , 2016, 2016 International Conference on Advanced Technologies for Communications (ATC).

[139]  Michele Magno,et al.  Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN , 2013, ENSSys '13.

[140]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[141]  Claire Goursaud,et al.  Dedicated networks for IoT : PHY / MAC state of the art and challenges , 2015, IOT 2015.

[142]  Li Xiao,et al.  The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[143]  Gu-Yeon Wei,et al.  MachSuite: Benchmarks for accelerator design and customized architectures , 2014, 2014 IEEE International Symposium on Workload Characterization (IISWC).