Sohan Lal

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Venues

DATE

Comput. Biol. Medicine

IPDPS

HPCS

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

Rahul Singh, Parvin Kumar, Jayant Sindhu, Meena Devi, Ashwani Kumar, Sohan Lal, Devender Singh
colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies. Comput. Biol. Medicine 157 (2023)
Manuel Renz, Sohan Lal
Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs. ICCD (2023)
Sohan Lal, Vijay Kumar Bhat
On the dominant local metric dimension of some planar graphs. Discret. Math. Algorithms Appl. 15 (7) (2023)
Sohan Lal, Sharatchandra Varma Bogaraju, Ben H. H. Juurlink
A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads. Int. J. Parallel Program. 50 (2) (2022)
Sohan Lal, Manuel Renz, Julian Hartmer, Ben H. H. Juurlink
Memory Access Granularity Aware Lossless Compression for GPUs. IPDPS (2022)
Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, Rahul Singh, Meena Devi, Ashwani Kumar, Ramesh Kumar, Sohan Lal
Exploring biological efficacy of novel benzothiazole linked 2, 5-disubstituted-1, 3, 4-oxadiazole hybrids as efficient α-amylase inhibitors: Synthesis, characterization, inhibition, molecular docking, molecular dynamics and Monte Carlo based QSAR studies. Comput. Biol. Medicine 138 (2021)
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs. DATE (2021)
Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline
SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing. Euro-Par (2020)
Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline
SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing. IWOCL (2020)
Sohan Lal, Ben H. H. Juurlink
A Quantitative Study of Locality in GPU Caches. SAMOS (2020)
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs. DATE (2019)
Nadjib Mammeri, Markus Neu, Sohan Lal, Ben H. H. Juurlink
Performance Counters based Power Modeling of Mobile GPUs using Deep Learning. HPCS (2019)
Apurv Ashish, Sohan Lal, Ben H. H. Juurlink
An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs. IESS (2019)
Jan Lucas, Sohan Lal, Ben H. H. Juurlink
Optimal DC/AC data bus inversion coding. DATE (2018)
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
E^2MC: Entropy Encoding Based Memory Compression for GPUs. IPDPS (2017)
Maurice Peemen, Runbin Shi, Sohan Lal, Ben H. H. Juurlink, Bart Mesman, Henk Corporaal
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision. DATE (2016)
Sohan Lal, Jan Lucas, Michael Andersch, Mauricio Alvarez Mesa, Ahmed Elhossini, Ben H. H. Juurlink
GPGPU workload characteristics and performance analysis. ICSAMOS (2014)
Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez Mesa, Ben H. H. Juurlink
How a single chip causes massive power bills GPUSimPow: A GPGPU power simulator. ISPASS (2013)

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Publication Activity (10 Years)

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Sohan Lal