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 (ISPASS, 2013)

GPGPU workload characteristics and performance analysis. - Sohan Lal; Jan Lucas; Michael Andersch; Mauricio Alvarez-Mesa; Ahmed Elhossini; Ben H. H. Juurlink (ICSAMOS, 2014)

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 (DATE, 2016)

E^2MC: Entropy Encoding Based Memory Compression for GPUs. - Sohan Lal; Jan Lucas; Ben H. H. Juurlink (IPDPS, 2017)

Optimal DC/AC data bus inversion coding. - Jan Lucas; Sohan Lal; Ben H. H. Juurlink (DATE, 2018)

SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs. - Sohan Lal; Jan Lucas; Ben H. H. Juurlink (DATE, 2019)

Performance Counters based Power Modeling of Mobile GPUs using Deep Learning. - Nadjib Mammeri; Markus Neu; Sohan Lal; Ben H. H. Juurlink (HPCS, 2019)

An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs. - Apurv Ashish; Sohan Lal; Ben H. H. Juurlink (IESS, 2019)

Power modeling and architectural techniques for energy-efficient GPUs. - Sohan Lal (2019)

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 (Euro-Par, 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 (IWOCL, 2020)

A Quantitative Study of Locality in GPU Caches. - Sohan Lal; Ben H. H. Juurlink (SAMOS, 2020)

QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs. - Sohan Lal; Jan Lucas; Ben H. H. Juurlink (DATE, 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)

Memory Access Granularity Aware Lossless Compression for GPUs. - Sohan Lal; Manuel Renz; Julian Hartmer; Ben H. H. Juurlink (IPDPS, 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)

Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs. - Manuel Renz; Sohan Lal (ICCD, 2023)

Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing in vitro 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, 2023)

On the dominant local metric dimension of some planar graphs. - Sohan Lal; Vijay Kumar Bhat (Discret. Math. Algorithms Appl., 2023)

Benchmarking Thread Block Cluster. - Tim Lühnen; Tobias Marschner; Sohan Lal (HPEC, 2024)

Enhancing Practicality of Memory Compression for GPUs with High-Throughput Simplifications. - Manuel Renz; Sohan Lal (CF, 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 (LATS, 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 (VLSID, 2025)