Research

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing

Published in 12th International Conference on Intelligent Systems and Embedded Design (ISED). IEEE, 2024

Autonomous Racing, Computer Vision, Image Segmentation, Deep Learning, LiDAR Perception, Accelerated Computing

Recommended citation: S. P. Sah and S. Chinara, "Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing," 2024 12th International Conference on Intelligent Systems and Embedded Design (ISED), Rourkela, India, 2024, pp. 01-06, doi: 10.1109/ISED63599.2024.10956572.
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Beneath the Tokens: A Performance Engineering Study of Multi-Token Prediction in GPU-Accelerated LLM Inference

Speculative Decoding, LLM Inference, GPU Performance Analysis, GPU Kernels, CUDA Graphs, NVIDIA Nsight, PyTorch Profiler

Recommended citation: Suwesh Prasad Sah. (2026). Beneath the Tokens: A Performance Engineering Study of Multi-Token Prediction in GPU-Accelerated LLM Inference (Version 1.0). arXiv. https://arxiv.org/abs/2609.35188
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Analyzing Internal and External Parallelism in Multi-Index FAISS Retrieval: Threads, Processes, OpenMP and the Cost of Concurrency

Parallel Computing, Performance Engineering, Profiling, Concurrency, Workload Granularity

Recommended citation: Suwesh Prasad Sah. (2026). Analyzing Internal and External Parallelism in Multi-Index FAISS Retrieval: Threads, Processes, OpenMP and the Cost of Concurrency (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.22115697
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