Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDMikel Luján
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j41]Markos Kynigos, Jose Antonio Pascual, Javier Navaridas, Mikel Luján, John Goodacre:
On the routing and scalability of MZI-based optical Beneš interconnects. Nano Commun. Networks 27: 100337 (2021)- 2020
- [j40]Luis A. Plana
, Jim D. Garside, Jonathan Heathcote, Jeffrey Pepper, Steve Temple, Simon Davidson, Mikel Luján, Steve B. Furber:
spiNNlink: FPGA-Based Interconnect for the Million-Core SpiNNaker System. IEEE Access 8: 84918-84928 (2020) - [j39]Joshua Lant, Javier Navaridas, Mikel Luján, John Goodacre:
Toward FPGA-Based HPC: Advancing Interconnect Technologies. IEEE Micro 40(1): 25-34 (2020) - [j38]Mohsen Ghasempour, Jonathan Heathcote, Javier Navaridas, Luis A. Plana, Jim D. Garside, Mikel Luján:
Analysis of software and hardware-accelerated approaches to the simulation of unconventional interconnection networks. Simul. Model. Pract. Theory 103: 102088 (2020) - [j37]Athanasios Stratikopoulos, Christos Kotselidis, John Goodacre, Mikel Luján:
FastPath_MP: Low Overhead & Energy-efficient FPGA-based Storage Multi-paths. ACM Trans. Archit. Code Optim. 17(4): 37:1-37:23 (2020) - [j36]Mireya Paredes, Graham D. Riley, Mikel Luján:
Exploiting Parallelism and Vectorisation in Breadth-First Search for the Intel Xeon Phi. IEEE Trans. Parallel Distributed Syst. 31(1): 111-128 (2020) - [c108]Cosmin Gorgovan, Guillermo Callaghan, Mikel Luján:
Balancing performance and productivity for the development of dynamic binary instrumentation tools: a case study on Arm systems. CC 2020: 132-142 - [c107]Unai Martinez-Corral, Guillermo Callaghan, Konstantinos Iordanou, Cosmin Gorgovan, Koldo Basterretxea, Mikel Luján:
DBHI: A Tool for Decoupled Functional Hardware-Software Co-Design on SoCs. FPGA 2020: 326 - [c106]Zhenwei Wu, Kai Lu, Andrew Nisbet, Wenzhe Zhang, Mikel Luján:
PMThreads: persistent memory threads harnessing versioned shadow copies. PLDI 2020: 623-637 - [c105]Salim S. Salim, Andy Nisbet, Mikel Luján:
TruffleWasm: a WebAssembly interpreter on GraalVM. VEE 2020: 88-100 - [c104]Guillermo Callaghan, Cosmin Gorgovan, Mikel Luján:
Optimising dynamic binary modification across 64-bit Arm microarchitectures. VEE 2020: 185-197 - [i14]Crefeda Faviola Rodrigues, Graham D. Riley, Mikel Luján:
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms. CoRR abs/2004.05137 (2020)
2010 – 2019
- 2019
- [j35]Joshua Lant, Caroline Concatto, Andrew Attwood, Jose Antonio Pascual, Mike Ashworth, Javier Navaridas, Mikel Luján, John Goodacre:
Enabling shared memory communication in networks of MPSoCs. Concurr. Comput. Pract. Exp. 31(21) (2019) - [j34]Jose Antonio Pascual, Joshua Lant, Caroline Concatto, Andrew Attwood, Javier Navaridas, Mikel Luján, John Goodacre:
On the effects of allocation strategies for exascale computing systems with distributed storage and unified interconnects. Concurr. Comput. Pract. Exp. 31(21) (2019) - [j33]Javier Navaridas, Jose Antonio Pascual, Alejandro Erickson, Iain A. Stewart, Mikel Luján:
INRFlow: An interconnection networks research flow-level simulation framework. J. Parallel Distributed Comput. 130: 140-152 (2019) - [c103]Abdullah Khalufa, Graham D. Riley, Mikel Luján:
POSTER: Runtime Adaptations for Energy-Efficient VSLAM. PACT 2019: 475-476 - [c102]Zhenwei Wu, Kai Lu, Wenzhe Zhang, Andrew Nisbet, Mikel Luján:
POSTER: Quiescent and Versioned Shadow Copies for NVM. PACT 2019: 491-492 - [c101]Joshua Lant, Andrew Attwood, Javier Navaridas, Mikel Luján, John Goodacre:
Receive-Side Notification for Enhanced RDMA in FPGA Based Networks. ARCS 2019: 224-235 - [c100]Crefeda Faviola Rodrigues, Graham D. Riley, Mikel Luján:
Exploration of task-based scheduling for convolutional neural networks accelerators under memory constraints. CF 2019: 366-372 - [c99]Nikos Foutris, Christos Kotselidis, Mikel Luján:
Simulating Wear-out Effects of Asymmetric Multicores at the Architecture Level. DFT 2019: 1-6 - [c98]Konstantinos Iordanou, Oscar Palomar, John Mawer, Cosmin Gorgovan, Andy Nisbet, Mikel Luján:
SimAcc: A Configurable Cycle-Accurate Simulator for Customized Accelerators on CPU-FPGAs SoCs. FCCM 2019: 163-171 - [c97]Joshua Lant, Javier Navaridas, Andrew Attwood, Mikel Luján, John Goodacre:
Enabling Standalone FPGA Computing. Hot Interconnects 2019: 23-26 - [c96]Mihai Bujanca, Mikel Luján, Barry Lennox:
FullFusion: A Framework for Semantic Reconstruction of Dynamic Scenes. ICCV Workshops 2019: 2168-2177 - [c95]Javier Navaridas, Joshua Lant, Jose Antonio Pascual, Mikel Luján, John Goodacre:
Design Exploration of Multi-tier Interconnection Networks for Exascale Systems. ICPP 2019: 49:1-49:10 - [c94]Mihai Bujanca, Paul Gafton, Sajad Saeedi, Andy Nisbet, Bruno Bodin, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Graham D. Riley, Barry Lennox, Mikel Luján, Steve B. Furber:
SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding. ICRA 2019: 6351-6358 - [c93]Kyriakos Paraskevas, Andrew Attwood, Mikel Luján, John Goodacre:
Scaling the capacity of memory systems; evolution and key approaches. MEMSYS 2019: 235-249 - [c92]Markos Kynigos, Jose Antonio Pascual, Javier Navaridas, Mikel Luján, John Goodacre:
Scalability analysis of optical Beneš networks based on thermally/electrically tuned Mach-Zehnder interferometers. NoCArc@MICRO 2019: 9:1-9:6 - [c91]Salim S. Salim, Andy Nisbet, Mikel Luján:
Towards a WebAssembly standalone runtime on GraalVM. SPLASH (Companion Volume) 2019: 15-16 - [c90]Swapnil Gaikwad, Andy Nisbet, Mikel Luján:
Hosting OpenMP programs on Java virtual machines. MPLR 2019: 63-71 - [c89]Tim Hartley, Foivos S. Zakkak, Christos Kotselidis, Mikel Luján:
An analysis of call-site patching without strong hardware support for self-modifying-code. MPLR 2019: 131-143 - [c88]Andrew M. Webb, Gavin Brown, Mikel Luján:
ORB-SLAM-CNN: Lessons in Adding Semantic Map Construction to Feature-Based SLAM. TAROS (1) 2019: 221-235 - [c87]Andy Nisbet, Nuno Miguel Nobre, Graham D. Riley, Mikel Luján:
Profiling and Tracing Support for Java Applications. ICPE 2019: 119-126 - [i13]Andrew M. Webb, Charles Reynolds, Dan-Andrei Iliescu, Henry W. J. Reeve, Mikel Luján, Gavin Brown:
Joint Training of Neural Network Ensembles. CoRR abs/1902.04422 (2019) - [i12]Anthony Kleerekoper, Javier Navaridas, Mikel Luján:
Can the Optimizer Cost be Used to Predict Query Execution Times? CoRR abs/1905.00774 (2019) - [i11]Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang:
Lightweight Container-based User Environment. CoRR abs/1912.03887 (2019) - 2018
- [j32]Sebastian Werner, Javier Navaridas, Mikel Luján:
A Survey on Optical Network-on-Chip Architectures. ACM Comput. Surv. 50(6): 89:1-89:37 (2018) - [j31]Manolis Katevenis, Roberto Ammendola, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Piero Vicini, Giuliano Taffoni, Jose Antonio Pascual, Javier Navaridas, Mikel Luján, John Goodacre, Bernd Lietzow, Martin L. Kersten:
Next generation of Exascale-class systems: ExaNeSt project and the status of its interconnect and storage development. Microprocess. Microsystems 61: 58-71 (2018) - [j30]Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo Marugán, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber:
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality. Proc. IEEE 106(11): 2020-2039 (2018) - [j29]Andrey Rodchenko, Christos Kotselidis, Andy Nisbet, Antoniu Pop, Mikel Luján:
Type Information Elimination from Objects on Architectures with Tagged Pointers Support. IEEE Trans. Computers 67(1): 130-143 (2018) - [j28]Matthias Grimmer, Roland Schatz, Chris Seaton, Thomas Würthinger, Mikel Luján:
Cross-Language Interoperability in a Multi-Language Runtime. ACM Trans. Program. Lang. Syst. 40(2): 8:1-8:43 (2018) - [c86]Caroline Concatto, Jose Antonio Pascual, Javier Navaridas, Joshua Lant, Andrew Attwood, Mikel Luján, John Goodacre:
A CAM-Free Exascalable HPC Router for Low-Energy Communications. ARCS 2018: 99-111 - [c85]Athanasios Stratikopoulos, Christos Kotselidis, John Goodacre, Mikel Luján:
FastPath: Towards Wire-Speed NVMe SSDs. FPL 2018: 170-177 - [c84]Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle:
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. ICRA 2018: 1-8 - [c83]James Clarkson, Juan Fumero, Michail Papadimitriou, Foivos S. Zakkak, Maria Xekalaki, Christos Kotselidis, Mikel Luján:
Exploiting high-performance heterogeneous hardware for Java programs using graal. ManLang 2018: 4:1-4:13 - [c82]Swapnil Gaikwad, Andy Nisbet, Mikel Luján:
Performance analysis for languages hosted on the truffle framework. ManLang 2018: 5:1-5:12 - [c81]Cosmin Gorgovan, Amanieu D'Antras, Mikel Luján:
Optimising Dynamic Binary Modification Across ARM Microarchitectures. ICPE 2018: 28-39 - [e1]John Goodacre, Mikel Luján, Giovanni Agosta, Alessandro Barenghi, Israel Koren, Gerardo Pelosi:
Proceedings of the Fifth Workshop on Cryptography and Security in Computing Systems, CS2 2018, Manchester, United Kingdom, January 24, 2018. ACM 2018, ISBN 978-1-4503-6374-7 [contents] - [i10]Crefeda Faviola Rodrigues, Graham D. Riley, Mikel Luján:
Fine-Grained Energy Profiling for Deep Convolutional Neural Networks on the Jetson TX1. CoRR abs/1803.11151 (2018) - [i9]Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber:
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality. CoRR abs/1808.06352 (2018) - [i8]Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle:
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. CoRR abs/1808.06820 (2018) - 2017
- [j27]Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Mikel Luján, Gavin Brown:
Dealing with under-reported variables: An information theoretic solution. Int. J. Approx. Reason. 85: 159-177 (2017) - [j26]Wenzhe Zhang, Kai Lu, Mikel Luján, Xiaoping Wang, Xu Zhou:
Fine-grained checkpoint based on non-volatile memory. Frontiers Inf. Technol. Electron. Eng. 18(2): 220-234 (2017) - [c80]James Clarkson, Christos Kotselidis, Gavin Brown, Mikel Luján:
Boosting Java Performance Using GPGPUs. ARCS 2017: 59-70 - [c79]Jose Antonio Pascual, Joshua Lant, Andrew Attwood, Caroline Concatto, Javier Navaridas, Mikel Luján, John Goodacre:
Designing an exascale interconnect using multi-objective optimization. CEC 2017: 2209-2216 - [c78]Mireya Paredes, Graham D. Riley, Mikel Luján:
Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi. Conf. Computing Frontiers 2017: 127-135 - [c77]Roberto Ammendola, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Piero Vicini, Giuliano Taffoni, Jose Antonio Pascual, Javier Navaridas, Mikel Luján, John Goodacre, Nikolaos Chrysos, Manolis Katevenis:
The Next Generation of Exascale-Class Systems: The ExaNeSt Project. DSD 2017: 510-515 - [c76]John Mawer, Oscar Palomar, Cosmin Gorgovan, Andy Nisbet, Will Toms, Mikel Luján:
The Potential of Dynamic Binary Modification and CPU-FPGA SoCs for Simulation. FCCM 2017: 144-151 - [c75]Sebastian Werner, Javier Navaridas, Mikel Luján:
Subchannel Scheduling for Shared Optical On-chip Buses. Hot Interconnects 2017: 49-56 - [c74]Sebastian Werner, Javier Navaridas, Mikel Luján:
Designing Low-Power, Low-Latency Networks-on-Chip by Optimally Combining Electrical and Optical Links. HPCA 2017: 265-276 - [c73]Georgios I. Goumas, Konstantinos Nikas, Ewnetu Bayuh Lakew, Christos Kotselidis, Andrew Attwood, Erik Elmroth, Michail Flouris, Nikos Foutris, John Goodacre, Davide Grohmann, Vasileios Karakostas, Panagiotis Koutsourakis, Martin L. Kersten, Mikel Luján, Einar Rustad, John Thomson, Luis Tomás, Atle Vesterkjaer, Jim Webber, Ying Zhang, Nectarios Koziris:
ACTiCLOUD: Enabling the Next Generation of Cloud Applications. ICDCS 2017: 1836-1845 - [c72]Crefeda Faviola Rodrigues, Graham D. Riley, Mikel Luján:
Fine-grained energy profiling for deep convolutional neural networks on the Jetson TX1. IISWC 2017: 114-115 - [c71]Andrey Rodchenko, Christos Kotselidis, Andy Nisbet, Antoniu Pop, Mikel Luján:
MaxSim: A simulation platform for managed applications. ISPASS 2017: 141-152 - [c70]Amanieu D'Antras, Cosmin Gorgovan, Jim D. Garside, Mikel Luján:
Low overhead dynamic binary translation on ARM. PLDI 2017: 333-346 - [c69]Colin Barrett, Christos Kotselidis, Foivos S. Zakkak, Nikos Foutris, Mikel Luján:
Experiences with Building Domain-Specific Compilation Plugins in Graal. ManLang 2017: 73-84 - [c68]Christos Kotselidis, James Clarkson, Andrey Rodchenko, Andy Nisbet, John Mawer, Mikel Luján:
Heterogeneous Managed Runtime Systems: A Computer Vision Case Study. VEE 2017: 74-82 - [c67]Kai Lu, Wenzhe Zhang, Xiaoping Wang, Mikel Luján, Andy Nisbet:
Flexible Page-level Memory Access Monitoring Based on Virtualization Hardware. VEE 2017: 201-213 - [c66]Amanieu D'Antras, Cosmin Gorgovan, Jim D. Garside, John Goodacre, Mikel Luján:
HyperMAMBO-X64: Using Virtualization to Support High-Performance Transparent Binary Translation. VEE 2017: 228-241 - [i7]Mireya Paredes, Graham D. Riley, Mikel Luján:
Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi. CoRR abs/1704.02259 (2017) - 2016
- [j25]Yaman Cakmaki, Will Toms, Javier Navaridas, Mikel Luján:
Cyclic Power-Gating as an Alternative to Voltage and Frequency Scaling. IEEE Comput. Archit. Lett. 15(2): 77-80 (2016) - [j24]Sebastian Werner, Javier Navaridas, Mikel Luján:
A Survey on Design Approaches to Circumvent Permanent Faults in Networks-on-Chip. ACM Comput. Surv. 48(4): 59:1-59:36 (2016) - [j23]Andreas Diavastos, Pedro Trancoso, Mikel Luján, Ian Watson:
Integrating Transactions into the Data-Driven Multi-threading Model Using the TFlux Platform. Int. J. Parallel Program. 44(2): 257-277 (2016) - [j22]Abubakar Siddique, Mohammad Ansari, Mikel Luján:
Purge-Rehab: Eager Software Transactional Memory with High Performance Under Contention. Int. J. Parallel Program. 44(6): 1359-1383 (2016) - [j21]Amanieu D'Antras, Cosmin Gorgovan, Jim D. Garside, Mikel Luján:
Optimizing Indirect Branches in Dynamic Binary Translators. ACM Trans. Archit. Code Optim. 13(1): 7:1-7:25 (2016) - [j20]Cosmin Gorgovan, Amanieu D'Antras, Mikel Luján:
MAMBO: A Low-Overhead Dynamic Binary Modification Tool for ARM. ACM Trans. Archit. Code Optim. 13(1): 14:1-14:26 (2016) - [j19]Paraskevas Yiapanis, Gavin Brown, Mikel Luján:
Compiler-Driven Software Speculation for Thread-Level Parallelism. ACM Trans. Program. Lang. Syst. 38(2): 5:1-5:45 (2016) - [c65]Bruno Bodin, Luigi Nardi, M. Zeeshan Zia, Harry Wagstaff, Govind Sreekar Shenoy, Murali Krishna Emani, John Mawer, Christos Kotselidis, Andy Nisbet, Mikel Luján, Björn Franke, Paul H. J. Kelly, Michael F. P. O'Boyle:
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding. PACT 2016: 57-69 - [c64]Mireya Paredes, Graham D. Riley, Mikel Luján:
Breadth first search vectorization on the Intel Xeon Phi. Conf. Computing Frontiers 2016: 1-10 - [c63]Colin Barrett, Christos Kotselidis, Mikel Luján:
Towards co-designed optimizations in parallel frameworks: a MapReduce case study. Conf. Computing Frontiers 2016: 172-179 - [c62]Wei Song, Dirk Koch, Mikel Luján, Jim D. Garside:
Parallel Hardware Merge Sorter. FCCM 2016: 95-102 - [c61]Zhenzhong Xiao, Dirk Koch, Mikel Luján:
A partial reconfiguration controller for Altera Stratix V FPGAs. FPL 2016: 1-4 - [c60]Mohsen Ghasempour, Aamer Jaleel, Jim D. Garside, Mikel Luján:
HAPPY: Hybrid Address-based Page Policy in DRAMs. MEMSYS 2016: 311-321 - [c59]Mohsen Ghasempour, Aamer Jaleel, Jim D. Garside, Mikel Luján:
DReAM: Dynamic Re-arrangement of Address Mapping to Improve the Performance of DRAMs. MEMSYS 2016: 362-373 - [i6]Colin Barrett, Christos Kotselidis, Mikel Luján:
Towards co-designed optimizations in parallel frameworks: A MapReduce case study. CoRR abs/1603.09679 (2016) - [i5]Mireya Paredes, Graham D. Riley, Mikel Luján:
Breadth First Search Vectorization on the Intel Xeon Phi. CoRR abs/1604.02844 (2016) - 2015
- [j18]Javier Navaridas, Mikel Luján, Luis A. Plana, Steve Temple, Steve B. Furber:
SpiNNaker: Enhanced multicast routing. Parallel Comput. 45: 49-66 (2015) - [j17]Wenzhe Zhang, Kai Lu, Mikel Luján, Xiaoping Wang, Xu Zhou:
Write-Combined Logging: An Optimized Logging for Consistency in NVRAM. Sci. Program. 2015: 398369:1-398369:13 (2015) - [j16]Behram Khan, Daniel Goodman, Salman Khan, Will Toms, Paolo Faraboschi, Mikel Luján, Ian Watson:
Architectural support for task scheduling: hardware scheduling for dataflow on NUMA systems. J. Supercomput. 71(6): 2309-2338 (2015) - [c58]Anthony Kleerekoper, Michael Pappas, Adam Craig Pocock, Gavin Brown, Mikel Luján:
A scalable implementation of information theoretic feature selection for high dimensional data. BigData 2015: 339-346 - [c57]Farideh Jalalinajafabadi, Chaitanya Gadepalli, Mohsen Ghasempour, Mikel Luján, Barry M. G. Cheetham, Jarrod Homer:
Computerised objective measurement of strain in voiced speech. EMBC 2015: 5589-5592 - [c56]Andrey Rodchenko, Andy Nisbet, Antoniu Pop, Mikel Luján:
Effective Barrier Synchronization on Intel Xeon Phi Coprocessor. Euro-Par 2015: 588-600 - [c55]Mohsen Ghasempour, Jonathan Heathcote, Javier Navaridas, Luis A. Plana, Jim D. Garside, Mikel Luján:
Accelerating Interconnect Analysis Using High-Level HDLs and FPGA, SpiNNaker as a Case Study. FCCM 2015: 96 - [c54]Sebastian Werner, Javier Navaridas, Mikel Luján:
Amon: An Advanced Mesh-like Optical NoC. Hot Interconnects 2015: 52-59 - [c53]Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Stephen B. Furber:
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. ICRA 2015: 5783-5790 - [c52]Geoffrey Ndu, Javier Navaridas, Mikel Luján:
CHO: towards a benchmark suite for OpenCL FPGA accelerators. IWOCL 2015: 10:1-10:10 - [c51]Mohsen Ghasempour, Jonathan Heathcote, Javier Navaridas, Luis A. Plana, Jim D. Garside, Mikel Luján:
Analysis of FPGA and software approaches to simulate unconventional computer architectures. ReConFig 2015: 1-8 - [c50]Farideh Jalalinajafabadi, Chaitanya Gadepalli, Mohsen Ghasempour, Frances Ascott, Mikel Luján, Jarrod Homer, Barry M. G. Cheetham:
Objective Assessment of Asthenia using Energy and Low-to-High Spectral Ratio. SIGMAP 2015: 76-83 - [i4]James Clarkson, Christos Kotselidis, Gavin Brown, Mikel Luján:
Boosting Java Performance using GPGPUs. CoRR abs/1508.06791 (2015) - [i3]Mohsen Ghasempour, Jim D. Garside, Aamer Jaleel, Mikel Luján:
DReAM: Dynamic Re-arrangement of Address Mapping to Improve the Performance of DRAMs. CoRR abs/1509.03721 (2015) - [i2]Mohsen Ghasempour, Aamer Jaleel, Jim D. Garside, Mikel Luján:
HAPPY: Hybrid Address-based Page Policy in DRAMs. CoRR abs/1509.03740 (2015) - 2014
- [j15]Roberto Giorgi, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, Paolo Faraboschi, Bernhard Fechner, Guang R. Gao, Arne Garbade, Rahulkumar Gayatri, Sylvain Girbal, Daniel Goodman, Behram Khan, Souad Koliai, Joshua Landwehr, Nhat Minh Lê, Feng Li, Mikel Luján, Avi Mendelson, Laurent Morin, Nacho Navarro, Tomasz Patejko, Antoniu Pop, Pedro Trancoso, Theo Ungerer, Ian Watson, Sebastian Weis, Stéphane Zuckerman, Mateo Valero:
TERAFLUX: Harnessing dataflow in next generation teradevices. Microprocess. Microsystems 38(8): 976-990 (2014) - [c49]Javier Navaridas, Mikel Luján, Luis A. Plana, Steve Temple, Steve B. Furber:
On generating multicast routes for SpiNNaker. Conf. Computing Frontiers 2014: 2:1-2:10 - [c48]Oriol Arcas-Abella, Geoffrey Ndu, Nehir Sönmez, Mohsen Ghasempour, Adrià Armejach, Javier Navaridas, Wei Song, John Mawer, Adrián Cristal, Mikel Luján:
An empirical evaluation of High-Level Synthesis languages and tools for database acceleration. FPL 2014: 1-8 - [i1]Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Steve B. Furber:
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. CoRR abs/1410.2167 (2014) - 2013
- [j14]Daniel Goodman, Behram Khan, Salman Khan, Mikel Luján, Ian Watson:
Software transactional memories for Scala. J. Parallel Distributed Comput. 73(2): 150-163 (2013) - [j13]Javier Navaridas, Steve B. Furber, Jim D. Garside, Xin Jin, Mukaram M. Khan, David R. Lester, Mikel Luján, José Miguel-Alonso, Eustace Painkras, Cameron Patterson, Luis A. Plana, Alexander D. Rast, Dominic Richards, Yebin Shi, Steve Temple, Jian Wu, Shufan Yang:
SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture. Parallel Comput. 39(11): 693-708 (2013) - [j12]Paraskevas Yiapanis, Demian Rosas-Ham, Gavin Brown, Mikel Luján:
Optimizing software runtime systems for speculative parallelization. ACM Trans. Archit. Code Optim. 9(4): 39:1-39:27 (2013) - [c47]Jingfei Jiang, Rongdong Hu, Mikel Luján, Yong Dou:
Empirical Evaluation of Fixed-Point Arithmetic for Deep Belief Networks. ARC 2013: 225 - [c46]Anthony Kleerekoper, Mikel Luján, Gavin Brown:
Exploring sketches for probability estimation with sublinear memory. BigData 2013: 79-86 - [c45]Marco Solinas, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, Paolo Faraboschi, Bernhard Fechner, Guang R. Gao, Arne Garbade, Sylvain Girbal, Daniel Goodman, Behram Khan, Souad Koliai, Feng Li, Mikel Luján, Laurent Morin, Avi Mendelson, Nacho Navarro, Antoniu Pop, Pedro Trancoso, Theo Ungerer, Mateo Valero, Sebastian Weis, Ian Watson, Stéphane Zuckerman, Roberto Giorgi:
The TERAFLUX Project: Exploiting the DataFlow Paradigm in Next Generation Teradevices. DSD 2013: 272-279 - [c44]Farideh Jalalinajafabadi, Chaitanya Gadepalli, Frances Ascott, Jarrod Homer, Mikel Luján, Barry M. G. Cheetham:
Perceptual Evaluation of Voice Quality and Its Correlation with Acoustic Measurement. EMS 2013: 283-286 - [c43]Jingfei Jiang, Rongdong Hu, Mikel Luján:
Effect of fixed-point arithmetic on deep belief networks (abstract only). FPGA 2013: 273 - [c42]Jingfei Jiang, Rongdong Hu, Mikel Luján:
A Flexible Memory Controller Supporting Deep Belief Networks with Fixed-Point Arithmetic. IPDPS Workshops 2013: 144-152 - 2012
- [j11]Alexander D. Rast, Javier Navaridas, Xin Jin, Francesco Galluppi, Luis A. Plana, José Miguel-Alonso, Cameron Patterson, Mikel Luján, Steve B. Furber:
Managing Burstiness and Scalability in Event-Driven Models on the SpiNNaker Neuromimetic System. Int. J. Parallel Program. 40(6): 553-582 (2012) - [j10]Gavin Brown, Adam Craig Pocock, Ming-Jie Zhao, Mikel Luján:
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection. J. Mach. Learn. Res. 13: 27-66 (2012) - [c41]