Sohan Lal

According to our database, Sohan Lal authored at least 28 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Portable Compiler-Runtime Approach for Scalability Prediction.

Nicolai Stawinoga, Sohan Lal, Biagio Cosenza, Philip Salzmann, Peter Thoman, Thomas Fahringer

Future Gener. Comput. Syst., 2026

Accelerating GPGPU Simulation by Strategically Parallelizing the Compute Bottleneck.

Jakob Sachs, Tim Lühnen, Sohan Lal

Proceedings of the 17th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 15th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2026

2025

Robust LFSR-based Scrambling to Mitigate Stencil Attack on Main Memory.

Gaurav Kumar, Kushal Pravin Nanote, Sohan Lal, Yamuna Prasad, Satyadev Ahlawat

ACM Trans. Embed. Comput. Syst., 2025

AI-Driven Anomaly Detection in Oscilloscope Images for Post-Silicon Validation.

Kowshic A. Akash, Tobias Wulf, Torsten Valentin, Alexander Geist, Ulf Kulau, Sohan Lal

Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025

On Enhancing the Security Against Memory Disclosure Attacks.

Prokash Ghosh, Gaurav Kumar, Sohan Lal, Satyadev Ahlawat, Virendra Singh

Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

Case Study: AI-Driven Log Extraction and Trace Outlier Detection for Efficient Post-Silicon Validation.

Kowshic A. Akash, Tobias Wulf, Torsten Valentin, Alexander Geist, Ulf Kulau, John Jose, Sohan Lal

Proceedings of the 26th IEEE Latin American Test Symposium, 2025

ClusterSim: Modeling Thread Block Clusters in Hopper GPUs.

Tim Lühnen, Jyotirman Behera, Devashree Tripathy, Sohan Lal

Proceedings of the IEEE International Symposium on Workload Characterization, 2025

Enhancing Practicality of Memory Compression for GPUs with High-Throughput Simplifications.

Manuel Renz, Sohan Lal

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

Benchmarking Thread Block Cluster.

Tim Lühnen, Tobias Marschner, Sohan Lal

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

2023

On the dominant local metric dimension of some planar graphs.

Sohan Lal, Vijay Kumar Bhat

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.

Rahul Singh, Parvin Kumar, Jayant Sindhu, Meena Devi, Ashwani Kumar, Sohan Lal, Devender Singh

Comput. Biol. Medicine, May, 2023

Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs.

Manuel Renz, Sohan Lal

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads.

Sohan Lal, Sharatchandra Varma Bogaraju, Ben H. H. Juurlink

Int. J. Parallel Program., 2022

Memory Access Granularity Aware Lossless Compression for GPUs.

Sohan Lal, Manuel Renz, Julian Hartmer, Ben H. H. Juurlink

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.

Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, Rahul Singh, Meena Devi, Ashwani Kumar, Ramesh Kumar, Sohan Lal

Comput. Biol. Medicine, 2021

QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs.

Sohan Lal, Jan Lucas, Ben H. H. Juurlink

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

A Quantitative Study of Locality in GPU Caches.

Sohan Lal, Ben H. H. Juurlink

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020

SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.

Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline

Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing.

Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

Power modeling and architectural techniques for energy-efficient GPUs.

Sohan Lal

PhD thesis, 2019

An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs.

Apurv Ashish, Sohan Lal, Ben H. H. Juurlink

Proceedings of the Analysis, Estimations, and Applications of Embedded Systems, 2019

Performance Counters based Power Modeling of Mobile GPUs using Deep Learning.

Nadjib Mammeri, Markus Neu, Sohan Lal, Ben H. H. Juurlink

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs.

Sohan Lal, Jan Lucas, Ben H. H. Juurlink

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Optimal DC/AC data bus inversion coding.

Jan Lucas, Sohan Lal, Ben H. H. Juurlink

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

E^2MC: Entropy Encoding Based Memory Compression for GPUs.

Sohan Lal, Jan Lucas, Ben H. H. Juurlink

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.

Maurice Peemen, Runbin Shi, Sohan Lal, Ben H. H. Juurlink, Bart Mesman, Henk Corporaal

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2014

GPGPU workload characteristics and performance analysis.

Sohan Lal, Jan Lucas, Michael Andersch, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben H. H. Juurlink

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.

Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben H. H. Juurlink

Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013