activity
20212026
most citedDepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing

9 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models

Yuvraj Sehgal, Sneh Patel, Mahsa Panahandeh +2

Machine learning models for system diagnostics rely on kernel execution traces to capture fine-grained system behavior, but collecting production traces in industrial systems is co…

cs.SE2026

TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs

Alireza Ezaz, Ghazal Khodabandeh, Majid Babaei +1

Execution traces are a critical source of information for understanding, debugging, and optimizing complex software systems. However, traces from OS kernels or large-scale applicat…

cs.LG2025★ 1 cited

Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures

Ghazal Khodabandeh, Alireza Ezaz, Majid Babaei +1

Managing microservice architectures in distributed systems is complex and resource intensive due to the high frequency and dynamic nature of inter service interactions. Accurate pr…

cs.LG2025

Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models

Tom Wallace, Naser Ezzati-Jivan, Beatrice Ombuki-Berman

Advancements in Natural Language Processing are heavily reliant on the Transformer architecture, whose improvements come at substantial resource costs due to ever-growing model siz…

cs.CL2024

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge

Brendan Park, Madeline Janecek, Naser Ezzati-Jivan +2

Large Language Models (LLMs) have demonstrated remarkable success in tasks like the Winograd Schema Challenge (WSC), showcasing advanced textual common-sense reasoning. However, ap…

cs.PF2022★ 2 cited

Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs

Sneh Patel, Brendan Park, Naser Ezzati-Jivan +1

Detecting performance issues and identifying their root causes in the runtime is a challenging task. Typically, developers use methods such as logging and tracing to identify bottl…

cs.LG2021★ 5 cited

Automatic Cause Detection of Performance Problems in Web Applications

Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise +1

The execution of similar units can be compared by their internal behaviors to determine the causes of their potential performance issues. For instance, by examining the internal be…

cs.SE2021★ 9 cited

DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing

Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais +1

This paper addresses the challenge of understanding the waiting dependencies between the threads and hardware resources required to complete a task. The objective is to improve sof…