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Sohan Lal
Sohan Lal
Massively Parallel Systems Group, Hamburg University of Technology (TUHH)
Bestätigte E-Mail-Adresse bei tuhh.de - Startseite
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Zitiert von
Zitiert von
Jahr
How a single chip causes massive power bills GPUSimPow: A GPGPU power simulator
J Lucas, S Lal, M Andersch, M Alvarez-Mesa, B Juurlink
2013 IEEE International Symposium on Performance Analysis of Systems and …, 2013
872013
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision
M Peemen, R Shi, S Lal, B Juurlink, B Mesman, H Corporaal
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2016
232016
E^ 2MC: Entropy Encoding Based Memory Compression for GPUs
S Lal, J Lucas, B Juurlink
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
222017
SYCL-bench: a versatile cross-platform benchmark suite for heterogeneous computing
S Lal, A Alpay, P Salzmann, B Cosenza, A Hirsch, N Stawinoga, ...
Euro-Par 2020: Parallel Processing: 26th International Conference on …, 2020
202020
GPGPU workload characteristics and performance analysis
S Lal, J Lucas, M Andersch, M Alvarez-Mesa, A Elhossini, B Juurlink
2014 International Conference on Embedded Computer Systems: Architectures …, 2014
122014
SLC: Memory access granularity aware selective lossy compression for GPUs
S Lal, J Lucas, B Juurlink
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
102019
A quantitative study of locality in GPU caches for memory-divergent workloads
S Lal, BS Varma, B Juurlink
International journal of parallel programming 50 (2), 189-216, 2022
92022
SYCL-bench: A versatile single-source benchmark suite for heterogeneous computing
S Lal, A Alpay, P Salzmann, B Cosenza, N Stawinoga, P Thoman, ...
Proceedings of the International Workshop on OpenCL, 1-1, 2020
92020
Optimal DC/AC Data Bus Inversion Coding
J Lucas, S Lal, B Juurlink
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018, 2018
92018
Performance counters based power modeling of mobile GPUs using deep learning
N Mammeri, M Neu, S Lal, B Juurlink
2019 International Conference on High Performance Computing & Simulation …, 2019
52019
A quantitative study of locality in GPU caches
S Lal, B Juurlink
Embedded Computer Systems: Architectures, Modeling, and Simulation: 20th …, 2020
42020
QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs
S Lal, J Lucas, B Juurlink
32021
Accelerating metabolic pathways simulation using gpus
S Lal, K Paul, J Gomes
Annual International Conference on Advances in Distributed and Parallel …, 2010
22010
Memory access granularity aware lossless compression for GPUs
S Lal, M Renz, J Hartmer, B Juurlink
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
12022
A Case for Memory Access Granularity Aware Selective Lossy Compression for GPUs
S Lal, B Juurlink
ACM Student Research Competition, MICRO, 2018
12018
DART: A GPU architecture exploiting temporal SIMD for divergent workloads
J Lucas, S Lal, MA Mesa, A Elhossini, B Juurlink
Proceedingsof the 9th International Summer School on AdvancedComputer …, 2013
12013
Beyond compression ratio: a throughput analysis of memory compression techniques for GPUs
M Renz, S Lal
2023 IEEE 41st International Conference on Computer Design (ICCD), 255-262, 2023
2023
An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs
A Ashish, S Lal, B Juurlink
International Embedded Systems Symposium, 130-141, 2023
2023
Power modeling and architectural techniques for energy-efficient GPUs
S Lal
2019
Exploring GPGPUs Workload Characteristics and Power Consumption
S Lal, J Lucas, M Alvarez-Mesa, A Elhossini, B Juurlink
Proceedings of the 9th International Summer School on Advanced Computer …, 2013
2013
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