collaborators

5 papers

cs.CR2026

RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking

Lavi Jain, Venkata Kalyan Tavva

The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice,…

cs.AR2026

Efficient Page Migration in Hybrid Memory Systems

Upasna, Venkata Kalyan Tavva

Heterogeneous Memory Architecture (HMA) aims to optimize memory usage by leveraging a combination of memory types, such as high-bandwidth memory (HBM), commodity DRAM, and non-vola…

cs.AR2026

Optimizing Branch Predictor for Graph Applications

Upasna, Venkata Kalyan Tavva

Real-world graph applications are generally larger than the size of the cache itself. Due to this reason, the memory hierarchy was identified as a key bottleneck by the earlier wor…

cs.AR2026

ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization

Panuganti Chirag Sai, Gandholi Sarat, R. Raghunatha Sarma +2

Reducing latency and energy consumption is critical to improving the efficiency of memory systems in modern computing. This work introduces ReLMXEL (Reinforcement Learning for Memo…

cs.DS2023

GraphVine: A Data Structure to Optimize Dynamic Graph Processing on GPUs

Rohith Krishnan S, Venkata Kalyan Tavva, Rupesh Nasre

Graph processing on GPUs is gaining momentum due to the high throughputs observed compared to traditional CPUs, attributed to the vast number of processing cores on GPUs that can e…