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In Press
H. Tabkhi and G. Schirner, "A Joint SW/HW Approach for Reducing Register File Vulnerability", ACM Transactions on Architecture and Code Optimization (ACM TACO), 02/2015, In Press.
N. Teimouri, H. Tabkhi and G. Schirner, "Revisiting Accelerator-Based CMPs: Challenges and Solutions", Design Automation Conference (DAC), San Francisco, Design Automation Conference (DAC), 06/2015, In Press.
2018
N. Teimouri, H. Tabkhi and G. Schirner, "Alleviating Scalability Limitation of Accelerator-based Platforms", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp. 1-1, 2018.
J. Zhang, H. Tabkhi and G. Schirner, "DS-DSE: Domain-Specific Design Space Exploration for Streaming Applications", Design Automation and Test in Europe (DATE), Dresden, Germany, DATE, 03/2018.
2016
H. Tabkhi, M. Sabbagh and G. Schirner, "Guiding Power/Quality Exploration for Communication-Intense Stream Processing", Great Lakes Symposium on VLSI (GLS-VLSI), Boston (MA), US, 05/2016.
A. Momeni, H. Tabkhi, G. Schirner and D. Kaeli, "Hardware thread reordering to boost OpenCL throughput on FPGAs", ICCD, Phoenix (AZ), International Conference on Computer Design, 2016.
N. Teimouri, H. Tabkhi and G. Schirner, Improving Scalability of CMPs with Dense ACCs Coverage , Dresden, Germany, DATE, 2016.
A. Momeni, H. Tabkhi, G. Schirner and D. R. Kaeli, "OpenCL-based optimizations for acceleration of object tracking on FPGAs and GPUs", International Workshop on Architectures and Systems for Real-time Mobile Vision Applications (ASR-MOV), Barcelona, Spain, 03/2016.
2015
A. Momeni, H. Tabkhi, G. Schirner and D. R. Kaeli, "Bridging Architecture and Programming for Throughput-Oriented Vision Processing", International Symposium on Field-Programmable Gate Arrays (FPGA), 02/2015.
H. Tabkhi, R. Bushey and G. Schirner, "Conceptual Abstraction Levels (CALs) for Managing Design Complexity of Market-Oriented MPSoCs", Elsevier Journal of Microprocessors and Microsystems, 2015.
H. Tabkhi, M. Sabbagh and G. Schirner, "An Efficient Architecture Solution for Low-Power Real-Time Background Subtraction", IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAPs), Toronto, Canada, 2015.
A. Momeni, H. Tabkhi, Y. Ukidave, G. Schirner and D. Kaeli, Exploring the Efficiency of the OpenCL Pipe Semantic on an FPGA , Boston, MA, International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), 2015.
H. Tabkhi, R. Bushey and G. Schirner, "Function-Level Processor (FLP): A Novel Processor Class for Efficient Processing of Streaming Applications", Springer Journal of Signal Processing and Systems, 2015.
H. Tabkhi, High-Performance Power-Efficient Solutions for Embedded Vision Computing , San Francisco, DAC 2015, 2015.
C. Zhang, H. Tabkhi and G. Schirner, "Studying Inter-Warp Divergence Aware Execution on GPUs", Computer Architecture Letters, 2015.
M. Sabbagh, H. Tabkhi and G. Schirner, "Taming the Memory Demand Complexity of Adaptive Vision Algorithms", IESS, Foz do Iguacu, 2015.
2014
H. Tabkhi and G. Schirner, "Application-Guided Power Gating Reducing Register File Static Power", IEEE Transactions on Very Large Scale Integration (TVLSI), 2014.
H. Tabkhi, R. Bushey and G. Schirner, "Function-Level Processor (FLP): A High Performance, Minimal Bandwidth, Low Power Architecture for Market-Oriented MPSoCs", IEEE Embedded Systems Letters (accepted 5/20/14), 05/2014.
H. Tabkhi, R. Bushey and G. Schirner, "Function-Level Processor (FLP): Raising Efficiency by Operating at Function Granularity for Market-Oriented MPSoCs", IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Zurich, Switzerland, 2014.
C. Zhang, H. Tabkhi and G. Schirner, "A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction", International Conference on Parallel Processing, Minneapolis, MN, 2014.
H. Tabkhi, M. Sabbagh and G. Schirner, Guiding Power/Quality Exploration for Communication-Intense Stream Processing , San Francisco, USA, 51st ACM/EDAC/IEEE Design Automation Conference (DAC), 06/2014.
H. Tabkhi, "High-Performance Power-Efficient Solutions for embedded vision", Electrical and Computer Engineering, Boston, Massachusetts, Northeastern University, 08/2014.
H. Tabkhi, M. Sabbagh and G. Schirner, A Power-efficient FPGA-based Mixture-of-Gaussian (MoG) Background Subtraction for Full-HD Resolution , FCCM, 2014.
H. Tabkhi, M. Sabbagh and G. Schirner, "A Power-efficient Real-time Solution for Adaptive Vision", IET Computers & Digital Techniques, 2014.
2013
H. Tabkhi, R. Bushey and G. Schirner, "Algorithm and Architecture Co-Design of Mixture of Gaussian (MoG) Background Subtraction for Embedded Vision Processor", Proceedings of the Asilomar Conference on Signals, Systems, and Computers (AsilomarSSC), 11/2013.

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