Rama Govindaraju

12 papers A* 3B 1Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. CoRR Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang
2025	J	`jnl`	Silent Data Corruption by 10x Test Escapes Threatens Reliable Computing. CoRR Subhasish Mitra, Subho S. Banerjee, Martin Dixon, Rama Govindaraju, Peter H. Hochschild, Eric X. Liu, Bharath Parthasarathy, Parthasarathy Ranganathan
2025	J	`jnl`	Silent Data Corruption by 10× Test Escapes Threatens Reliable Computing. IEEE Des. Test Subhasish Mitra, Subho S. Banerjee, Martin Dixon, Mike Fuller, Rama Govindaraju, Peter Hochschild, Eric X. Liu, Bharath Parthasarathy, Parthasarathy Ranganathan
2024	B	`conf`	Silent Data Corruption Errors in VLSI Circuits: Implications, Challenges, and Opportunities. ETS Rama Govindaraju
2023	A*	`conf`	Understanding and Mitigating Hardware Failures in Deep Learning Training Systems. ISCA Yi He, Mike Hutton, Steven Chan, Robert De Gruijl, Rama Govindaraju, Nishant Patil, Yanjing Li
2018	A*	`conf`	WSMeter: A Performance Evaluation Methodology for Google's Production Warehouse-Scale Computers. ASPLOS Jaewon Lee, Changkyu Kim, Kun Lin, Liqun Cheng, Rama Govindaraju, Jangwoo Kim
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2014	A*	`conf`	Towards energy proportionality for large-scale latency-critical workloads. ISCA David Lo, Liqun Cheng, Rama Govindaraju, Luiz André Barroso, Christos Kozyrakis
2001	J	`jnl`	MPI-LAPI: An Efficient Implementation of MPI for IBM RS/6000 SP Systems. IEEE Trans. Parallel Distributed Syst. Mohammad Banikazemi, Rama Govindaraju, Robert Blackmore, Dhabaleswar K. Panda
1999	—	`conf`	Implementing Efficient MPI on LAPI for IBM RS/6000 SP Systems: Experiences and Performance Evaluation. IPPS/SPDP Mohammad Banikazemi, Rama Govindaraju, Robert Blackmore, Dhabaleswar K. Panda
1998	—	`conf`	Performance and Experience with LAPI - a New High-Performance Communication Library for the IBM RS/6000 SP. IPPS/SPDP Gautam Shah, Jarek Nieplocha, Jamshed H. Mirza, Chulho Kim, Robert J. Harrison, Rama Govindaraju, Kevin J. Gildea, Paul DiNicola, Carl A. Bender
1996	—	`conf`	Improving Software MP Efficiency for Shared Memory Systems. HICSS (1) Balaram Sinharoy, Rama Govindaraju

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.