Sohan Lal

Orcid: 0000-0002-2325-1705

According to our database1, Sohan Lal authored at least 19 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
On the dominant local metric dimension of some planar graphs.
Discret. Math. Algorithms Appl., October, 2023

Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing <i>in vitro</i> colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies.
Comput. Biol. Medicine, May, 2023

Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022
A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads.
Int. J. Parallel Program., 2022

Memory Access Granularity Aware Lossless Compression for GPUs.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
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, 2021

QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
A Quantitative Study of Locality in GPU Caches.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020

SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.
Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019
Power modeling and architectural techniques for energy-efficient GPUs.
PhD thesis, 2019

An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs.
Proceedings of the Analysis, Estimations, and Applications of Embedded Systems, 2019

Performance Counters based Power Modeling of Mobile GPUs using Deep Learning.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Optimal DC/AC data bus inversion coding.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
E^2MC: Entropy Encoding Based Memory Compression for GPUs.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2014
GPGPU workload characteristics and performance analysis.
Proceedings of the XIVth International Conference on Embedded Computer Systems: Architectures, 2014

2013
How a single chip causes massive power bills GPUSimPow: A GPGPU power simulator.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013


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