29 citations · 42 across the 12 of their papers we have counts for
5 papers · 1 filter
HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data
Mayank Kabra, Phillip Widdowson, Harshita Gupta +9
A wide range of important cloud applications, e.g., database analytics, graph analytics, and genome analysis, spend a considerable amount of time performing bulk bitwise operations…
CertiFlash: A Formal Verification Framework for Flash Translation Layers in Computational Solid State Drives
Harshita Gupta, Mayank Kabra, Rakesh Nadig +10
Data-intensive applications move large amounts of data from storage to the compute unit, incurring significant data movement overhead. Storage-centric computing reduces this overhe…
GRAINS: Storage-Aware Algorithm-Architecture Co-Design Enabling High-Performance and Low-Cost Graph-Based Genome Analysis
Nika Mansouri Ghiasi, Harun Mustafa, Talu Güloglu +8
Graph-based representations of genome sequences have emerged as a powerful approach for representing massive genomic databases in an expressive and efficient way. Despite their ben…
Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to Storage
Rahul Bera, Rakesh Nadig, Onur Mutlu
Despite the data-rich environment in which memory systems of modern computing platforms operate, many state-of-the-art architectural policies employed in the memory system rely on…
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
Rakesh Nadig, Vamanan Arulchelvan, Mayank Kabra +9
Solid-state drives (SSDs) are well suited for near-data processing (NDP) because they: (1) store large application datasets, and (2) support three NDP paradigms: in-storage process…