activity
20182025
most citedSparseLNR: Accelerating Sparse Tensor Computations Using Loop Nest Restructuring

13 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.PL2025

Eliminate Branches by Melding IR Instructions

Yuze Li, Srinivasan Ramachandra Sharma, Charitha Saumya +2

Branch mispredictions cause catastrophic performance penalties in modern processors, leading to performance loss. While hardware predictors and profile-guided techniques exist, dat…

cs.SE2023

Taming the Hydra: Targeted Control-Flow Transformations for Dynamic Symbolic Execution

Charitha Saumya, Muhammad Hassan, Rohan Gangaraju +2

Dynamic Symbolic Execution (DSE) suffers from the path explosion problem when the target program has many conditional branches. The classical approach for managing the path explosi…

cs.SE2022★ 2 cited

Cornucopia: A Framework for Feedback Guided Generation of Binaries

Vidush Singhal, Akul Abhilash Pillai, Charitha Saumya +2

Binary analysis is an important capability required for many security and software engineering applications. Consequently, there are many binary analysis techniques and tools with…

cs.PL2022★ 13 cited

SparseLNR: Accelerating Sparse Tensor Computations Using Loop Nest Restructuring

Adhitha Dias, Kirshanthan Sundararajah, Charitha Saumya +1

Sparse tensor algebra computations have become important in many real-world applications like machine learning, scientific simulations, and data mining. Hence, automated code gener…

cs.PL2021★ 1 cited

DARM: Control-Flow Melding for SIMT Thread Divergence Reduction -- Extended Version

Charitha Saumya, Kirshanthan Sundararajah, Milind Kulkarni

GPGPUs use the Single-Instruction-Multiple-Thread (SIMT) execution model where a group of threads-wavefront or warp-execute instructions in lockstep. When threads in a group encoun…

cs.DC2018

Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data

Shreya Inamdar, Charitha Saumya, Nomchin Banga

This work presents the suspicious code at a finer granularity of call stack rather than code region, which was being returned by Orion. Call stack based comparison returns call sta…