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DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture

Mohammad Loni and Ali Zoljodi and Daniel Maier and Amin Majd and Masoud Daneshtalab and Mikael Sjödin and Ben Juurlink and Reza Akbari

IEEE World Congress On Computational Intelligence (WCCI) 2020 2020

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SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs

Sohan Lal and Jan Lucas and Ben Juurlink

Proc. IEEE Int. Conf on Design Automation, and Test in Europe,(DATE) 2019

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A Case for Memory Access Granularity Aware Selective Lossy Compression for GPUs

Sohan Lal and Ben Juurlink

ACM Student Research Competition Poster and Extended Abstract at the 51st IEEE/ACM Int. Symposium on Microarchitecture (MICRO) 2018

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GPGPU Workload Characteristics and Performance Analysis

Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink

Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124. 2014

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E²MC: Entropy Encoding based Memory Compression for GPUs

Sohan Lal and Jan Lucas and Ben Juurlink

Proc. 31st IEEE Int. Parallel and Distributed Processing Symposium (IPDPS) 2017

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Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink

Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13) 2013

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Memory Access Granularity Aware Lossy Compression for GPUs

Sohan Lal and Jan Lucas and Ben Juurlink

Proc. 14th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 8) 2018

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Enabling GPU software developers to optimize their applications - The LPGPU\(^mbox2\) approach

Ben H. H. Juurlink and Jan Lucas and Nadjib Mammeri and Georgios Keramidas and Katerina Pontzolkova and Ignacio Aransay and Chrysa Kokkala and Martyn Bliss and Andrew Richards

2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6. 2017

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