Sohan Lal

28 papers A 6B 1C 1Misc 1Journal 6Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Portable Compiler-Runtime Approach for Scalability Prediction.
Future Gener. Comput. Syst.
Nicolai Stawinoga, Sohan Lal, Biagio Cosenza, Philip Salzmann, Peter Thoman, Thomas Fahringer
2026 — conf
Accelerating GPGPU Simulation by Strategically Parallelizing the Compute Bottleneck.
PARMA-DITAM
Jakob Sachs, Tim Lühnen, Sohan Lal
2025 Misc conf
AI-Driven Anomaly Detection in Oscilloscope Images for Post-Silicon Validation.
VLSID
Kowshic A. Akash, Tobias Wulf, Torsten Valentin, Alexander Geist, Ulf Kulau, Sohan Lal
2025 — conf
Case Study: AI-Driven Log Extraction and Trace Outlier Detection for Efficient Post-Silicon Validation.
LATS
Kowshic A. Akash, Tobias Wulf, Torsten Valentin, Alexander Geist, Ulf Kulau, John Jose, Sohan Lal
2025 — conf
ClusterSim: Modeling Thread Block Clusters in Hopper GPUs.
IISWC
Tim Lühnen, Jyotirman Behera, Devashree Tripathy, Sohan Lal
2025 — conf
Enhancing Practicality of Memory Compression for GPUs with High-Throughput Simplifications.
CF
Manuel Renz, Sohan Lal
2025 — conf
On Enhancing the Security Against Memory Disclosure Attacks.
SOCC
Prokash Ghosh, Gaurav Kumar, Sohan Lal, Satyadev Ahlawat, Virendra Singh
2025 J jnl
Robust LFSR-based Scrambling to Mitigate Stencil Attack on Main Memory.
ACM Trans. Embed. Comput. Syst.
Gaurav Kumar, Kushal Pravin Nanote, Sohan Lal, Yamuna Prasad, Satyadev Ahlawat
2024 — conf
Benchmarking Thread Block Cluster.
HPEC
Tim Lühnen, Tobias Marschner, Sohan Lal
2023 C conf
Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs.
ICCD
Manuel Renz, Sohan Lal
2023 J jnl
On the dominant local metric dimension of some planar graphs.
Discret. Math. Algorithms Appl.
Sohan Lal, Vijay Kumar Bhat
2023 J jnl
Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing
Comput. Biol. Medicine
Rahul Singh, Parvin Kumar, Jayant Sindhu, Meena Devi, Ashwani Kumar, Sohan Lal, Devender Singh
2022 J jnl
A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads.
Int. J. Parallel Program.
Sohan Lal, Sharatchandra Varma Bogaraju, Ben H. H. Juurlink
2022 A conf
Memory Access Granularity Aware Lossless Compression for GPUs.
IPDPS
Sohan Lal, Manuel Renz, Julian Hartmer, Ben H. H. Juurlink
2021 J jnl
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
Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, Rahul Singh, Meena Devi, Ashwani Kumar, Ramesh Kumar, Sohan Lal
2021 A conf
QSLC: Quantization-Based, Low-Error Selective Approximation for GPUs.
DATE
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
2020 — conf
A Quantitative Study of Locality in GPU Caches.
SAMOS
Sohan Lal, Ben H. H. Juurlink
2020 — conf
SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing.
Euro-Par
Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline
2020 — conf
SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.
IWOCL
Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline
2019 — conf
An Efficient Lightweight Framework for Porting Vision Algorithms on Embedded SoCs.
IESS
Apurv Ashish, Sohan Lal, Ben H. H. Juurlink
2019 — conf
Performance Counters based Power Modeling of Mobile GPUs using Deep Learning.
HPCS
Nadjib Mammeri, Markus Neu, Sohan Lal, Ben H. H. Juurlink
2019 — —
Power modeling and architectural techniques for energy-efficient GPUs.
Sohan Lal
2019 A conf
SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs.
DATE
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
2018 A conf
Optimal DC/AC data bus inversion coding.
DATE
Jan Lucas, Sohan Lal, Ben H. H. Juurlink
2017 A conf
E^2MC: Entropy Encoding Based Memory Compression for GPUs.
IPDPS
Sohan Lal, Jan Lucas, Ben H. H. Juurlink
2016 A conf
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.
DATE
Maurice Peemen, Runbin Shi, Sohan Lal, Ben H. H. Juurlink, Bart Mesman, Henk Corporaal
2014 — conf
GPGPU workload characteristics and performance analysis.
ICSAMOS
Sohan Lal, Jan Lucas, Michael Andersch, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben H. H. Juurlink
2013 B conf
How a single chip causes massive power bills GPUSimPow: A GPGPU power simulator.
ISPASS
Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben H. H. Juurlink