I am a third-year CS undergrad in the Data Science Lab at USC, advised by Prof. Viktor K. Prasanna and Prof. Rajgopal Kannan.
My full CV can be found here.

• I’m interested in ML acceleration and ML-driven architectural support.
• In the past, I’ve worked on ML for data prefetching to target practical learning-based micro-architectural support.
• In the future, I want to lessen the compute-intensity and better the energy-efficiency for graph and computer vision tasks.

Publications

1. TabConv: Low-Computation CNN Inference via Table Lookups
   Neelesh Gupta*, Narayanan Kannan*, Pengmiao Zhang*, Viktor K. Prasanna
   Proceedings of the 21st ACM International Conference on Computing Frontiers (CF ‘24)
   

2. Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching
   Pengmiao Zhang*, Neelesh Gupta*, Rajgopal Kannan, Viktor K. Prasanna
   38th IEEE International Parallel & Distributed Processing Symposium (IPDPS ‘24)
   

3. PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Model
   Neelesh Gupta*, Pengmiao Zhang*, Rajgopal Kannan, Viktor K. Prasanna
   28th IEEE High Performance Extreme Computing Conference (HPEC ‘23)
   

4. Did your child get disturbed by an inappropriate advertisement on YouTube?
   Jeffrey Liu, Rajat Tandon, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Neelesh Gupta, Zoe Zhou, Jelena Mirkovic
   28th Proceeings of Knowledge Discovery and Data Mining Undergraduate Consortium (KDD-UC ‘22)
   

(Last update: Mar. 15, 2024)