LPGPU.org
An EU-funded research project into low power GPU technology
Low-Power Parallel Computing on GPUs 2 (LPGPU2)” is a EU-funded research project into low powered graphics devices. It is the work of a specially formed consortium of four companies and one university, all from across the EU, who are collaborating to deliver advances in tools and applications for energy efficient use of mobile GPUs.
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LPGPU1 Publications
On this page you can find publications from LPGPU project members related to the project and low power GPUs.
Biao Wang, Mauricio Alvarez-Mesa, Chi Ching Chi, and Ben Juurlink, “An optimized parallel IDCT on graphics processing units“, In Proceedings of the 18th international conference on Parallel processing workshops (Euro-Par’12). Springer-Verlag, Berlin, Heidelberg, 155-164. DOI=10.1007/978-3-642-36949-0_18, 2012.
Biao Wang, Mauricio Alvarez-Mesa, Chi Ching Chi, and Ben Juurlink, “Parallel H.264/AVC Motion Compensation for GPUs using OpenCL,” Circuits and Systems for Video Technology, IEEE Transactions on, doi: 10.1109/TCSVT.2014.2344512.
Jan Lucas, Mauricio Alvarez-Mesa, Michael Andersch, and Ben Juurlink (2014). Sparkk: Quality-Scalable Approximate Storage in DRAM. The Memory Forum
Michael Andersch, Jan Lucas, Mauricio Alvarez-Mesa, and Ben Juurlink. “Analyzing GPGPU Pipeline Latency“. Tenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES’ 14). July 2014.
Sohan Lal, Jan Lucas, Michael Andersch, Mauricio Alvarez Mesa, Ahmed Elhossini, and Ben Ju-
urlink, “GPGPU Workload Characteristics and Performance Analysis”, International Conference on
Embedded Computer Systems: Architectures, Modeling, and Simulation, (SAMOS), 2014, Samos,
Greece.
Tamer Dallou, Ahmed Elhossini, and Ben Juurlink, “FPGA-Based Prototype of Nexus++ Task Manager.” In Proc. of the 6th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2013, Co-located with SC 2013.
Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, and Ben Juurlink, “Why a Single Chip Causes Massive Power Bills – GPUSimPow: A GPGPU Power Simulator” in Proceedings of the IEEE International Symposium on Performance Analysis of Systems Software, ISPASS, 2013
Stefanos Kaxiras and Alberto Ros. 2013. “A new perspective for efficient virtual-cache coherence.” In Proceedings of the 40th Annual International Symposium on Computer Architecture (ISCA ’13). ACM, New York, NY, USA, 535-546. DOI=10.1145/2485922.2485968 http://doi.acm.org/10.1145/2485922.2485968
Konstantinos Koukos, David Black-Schaffer, Vasileios Spiliopoulos, and Stefanos Kaxiras. 2013. “Towards more efficient execution: a decoupled access-execute approach.” In Proceedings of the 27th international ACM conference on International conference on supercomputing (ICS ’13). ACM, New York, NY, USA, 253-262. DOI=10.1145/2464996.2465012 http://doi.acm.org/10.1145/2464996.2465012
Alexandra Jimborean, Konstantinos Koukos, Vasileios Spiliopoulos, David Black-Schaffer, Stefanos Kaxiras. “Fix the code. Don’t tweak the hardware : A new compiler approach to Voltage–Frequency scaling.” In: Proceedings of the 12th International Symposium on Code Generation and Optimization: . CGO 2014; International Symposium on Code Generation and Optimization; 15-19 February, 2014; Orlando, FL, USA. IEEE Computer Society; 2014.