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TU Berlin

Inhalt des Dokuments

Jan Lucas

Lehre

Lehrveranstaltungen
Multicore Architectures
WS 13/14
Advanced Computer Architectures (UE)
SS 2012

Publikationen

Chi Ching Chi and Mauricio Alvarez-Mesa and Jan Lucas and Ben Juurlink and T. Schierl (2013). Parallel HEVC Decoding on Multi- and Many-core Architectures. A Power and Performance Analysis.. Journal of Signal Processing Systems


Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ben Juurlink (2015). Spatiotemporal SIMT and Scalarization for Improving GPU Efficiency. ACM Trans. Archit. Code Optim.. ACM, 32:1–32:26.


Jan Lucas and Sohan Lal and Michael Andersch and Mauricio Alvarez Mesa and Ben Juurlink (2013). How a Single Chip Causes Massive Power Bills - GPUSimPow: A GPGPU Power Simulator. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS)


Sohan Lal and Jan Lucas and Ben Juurlink (2019). SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs. Proc. IEEE Int. Conf on Design Automation, and Test in Europe,(DATE)


Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2014). GPGPU Workload Characteristics and Performance Analysis. Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124.


Farzaneh Salehiminapour and Jan Lucas and Matthias Göbel and Ben Juurlink (2019). Reducing DRAM Accesses through Pseudo-Channel Mode. Proceedings of the 28th Workshop on Parallel Algorithms, Parallel Computer Structures and Parallel System Software (PARS 2019). Best Student Paper Award.


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). Enabling GPU software developers to optimize their applications - The LPGPU\(^mbox2\) approach. 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6.


Sohan Lal and Jan Lucas and Ben Juurlink (2017). E²MC: Entropy Encoding based Memory Compression for GPUs. Proc. 31st IEEE Int. Parallel and Distributed Processing Symposium (IPDPS)


Jan Lucas and Mauricio Alvarez-Mesa and Michael Andersch and Ben Juurlink (2014). Sparkk: Quality-Scalable Approximate Storage in DRAM. The Memory Forum


Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2015). On Latency in GPU Throughput Microarchitectures. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS), 169-170.


Jan Lucas and Sohan Lal and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). DART: A GPU Architecture Exploiting Temporal SIMD for Divergent Workloads. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)


Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). Exploring GPGPUs Workload Characteristics and Power Consumption. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)


Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2014). Analyzing GPGPU Pipeline Latency. Proc. 10th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 14)


Jan Lucas and Ben Juurlink (2016). ALUPower: Data Dependent Power Consumption in GPUs. Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016 IEEE 23rd International Symposium on


Jan Lucas and Sohan Lal and Ben Juurlink (2018). Optimal DC/AC Data Bus Inversion Coding. Proc. Int. Conf on Design Automation, and Test in Europe,(DATE)


07.12.2018: Jan Lucas successfully completed his PhD defense.

Lupe

Dipl.-Ing. Jan Lucas successfully completed his PhD defense on Friday 7th December 2018. His thesis title was: "GPU Power Modeling and Architectural Enhancements for GPU Energy Efficiency”.
Congratulation Dr. Lucas for your success and we wish you the best in your future!

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