Red Hat Research collaborates with universities and government agencies to produce peer-reviewed publications that bring open source contributions along with them. These research artifacts illustrate the value that open industry-academia collaborations hold not just for participants, but for technological advancement across the field of computer engineering. This is a sampling of recent papers and conference presentations; papers marked with a (🏆) were awarded special recognition. To see more visit the publications page of the Red Hat Research website.

AI and Machine Learning

• “Advancing cloud sustainability: a versatile framework for container power model training,” Sunyanan Choochotkaew (IBM Research), Chen Wang (IBM Research), Huamin Chen (Red Hat), Tatsuhiro Chiba (IBM Research), Marcelo Amaral (IBM Research), Eun Kyung Lee (IBM Research), and Tamar Eilam (IBM Research). In (2023) Proceedings, IEEE Computer Society’s 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS (Stony Brook, NY), pp. 1-4.
• 🏆”AutoAnnotate: reinforcement learning based code annotation for high level synthesis,” H. Shahzad (Boston University), Ahmed Sanaullah (Red Hat), Sanjay Arora (Red Hat), Ulrich Drepper (Red Hat), and Martin Herbordt (Boston University). In (2024) 25th International Symposium on Quality Electronic Design (ISQED) (San Francisco, CA), pp. 1-9.
• 🏆“AV4EV: open source modular autonomous electric vehicle platform for making mobility research accessible,” Zhijie Qiao (University of Pennsylvania, Autoware Foundation), Mingyan Zhou (University of Pennsylvania), Zhijun Zhuang (University of Pennsylvania), Tejas Agarwal (University of Pennsylvania, Autoware Foundation), Felix Jahncke (University of Pennsylvania, Technical University of Munich), Po-Jen Wang (Autoware Foundation), Jason Friedman (University of Pennsylvania,  Autoware Foundation), Hongyi Lai (University of Pennsylvania, Autoware Foundation), Divyanshu Sahu (University of Pennsylvania), Tomáš Nagy (University of Pennsylvania, Czech Technical University), Martin Endler (University of Pennsylvania, Czech Technical University), Jason Schlessman (Red Hat, Autoware Foundation), and Rahul Mangharam (University of Pennsylvania, Autoware Foundation). In (2024) IEEE Intelligent Vehicles Symposium (IV) (Jeju Island, South Korea), pp. 2942-47. 
• “Further optimizations and analysis of Smith-Waterman with vector extensions,” Reza Sajjadinasab (Boston University), Hamed Rastaghi (Boston University), Hafsah Shahzad (Boston University), Sanjay Arora (Red Hat), Ulrich Drepper (Red Hat), Martin Herbord (Boston University). In (2024) IEEE International Parallel and Distributed Processing Symposium Workshops (San Francisco, CA), pp. 561-70.
• “XVO: generalized visual odometry via cross-modal self-training,” Lei Lai (Boston University), Zhongkai Shangguan (Boston University), Jimuyang Zhang (Boston University), and Eshed Ohn-Bar (Boston University). In (2023) IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France), pp. 10060-71.

Cloud computing and edge

• “Can OS Specialization give new life to old carbon in the cloud?” Han Dong (Boston University), Sanjay Arora (Red Hat), Orran Krieger (Boston University), Jonathan Appavoo (Boston University). In (2024)  Proceedings of the 17th ACM International Conference on Systems and Storage (SYSTOR ’24) (Virtual, Israel) pp. 83-90. 
• “CCO: Cloud Cost Optimizer,” Adi Yehoshua (Red Hat), Ilya Kolchinsky (Red Hat), and Assaf Schuster (Technion, Israel). In (2023) Proceedings of the 16th ACM International Conference on Systems and Storage (SYSTOR ’23) (Haifa, Israel), p.137.
• “Enabling cost-benefit analysis of data sync protocols,” Novak Boskov (Boston University), Ari Trachtenberg (Boston University), and David Starobinski (Boston University). In (2023) Computer 56:10, pp. 62-71.
• “Experiences and lessons learned from PHYSICS: a framework for cloud development with FaaS,” George Kousiouris (Harokopio University of Athens, Greece), Marta Patiño (Universidad Politécnica de Madrid, Spain), Carlo Sánchez (Atos, Spain), and Luis Tomás Bolivar (Red Hat). In (2024) Euro-Par 2023: Parallel Processing Workshops (Limassol, Cyprus), pp. 219-23. 

Emerging and Specialized Hardware 

• “Effortless locality on data systems using relational fabric,” Tarikul Islam Papon (Boston University), Ju Hyong Mun (Boston University), Konstantion Karatsenidis (Boston University), Shahin Roozkhosh (Boston University), Denis Hoornaert (Technical University of Munich), Ahmed Sanaullah (Red Hat), Ulrich Drepper (Red Hat), Renato Mancuso (Boston University), and Manos Athanassoulis (Boston University). In (2024) IEEE Transactions on Knowledge and Data Engineering, pp. 1-12.
• “Improved models for policy-agent learning of compiler directives in HLS learning to drive anywhere,” Robert Munafo (Boston University), Hafsah Shazad (Boston University), Ahmed Sanauallah (Red Hat), Sanjay Arora (Red Hat) Ulrich Drepper (Red Hat), and Martin Herbordt (Boston University). In (2023) IEEE High Performance Extreme Computing Conference (HPEC) (Virtual). 
• “Performance evaluation of VirtIO device drivers for host-FPGA PCIe communication,” Sahan Bandara (Boston University), Ahmed Sanaullah (Red Hat), Zaid Tahir (Boston University), Ulrich Drepper (Red Hat), Martin Herbordt (Boston University).  In (2024) IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2024) (San Francisco, CA), pp. 169-176.
• “Quantifying the gap between open source and vendor FPGA place and route tools,” Shachi Khadilkar (University of Massachusetts, Lowell), Ahmed Sanaullah (Red Hat), and Martin Margala (University of Louisiana, Lafayette). In (2023) IEEE High Performance Extreme Computing Conference (HPEC) (Virtual).

Security, Privacy, and Cryptography

• “The adoption rate of JavaCard features by certified products and open source projects,” Lukas Zaoral (Red Hat), Antonin Dufka (Masaryk University, Czechia), and Petr Svenda (Masaryk University, Czechia). In (2024) 22nd International Conference on Smart Card Research and Advanced Applications (Amsterdam, Netherlands), pp. 169-89.
• “Everlasting ROBOT: the Marvin attack,” Hubert Kario (Red Hat). In (2024) Computer Security – ESORICS 2023 (The Hague, Netherlands).
• “Fingerprint forgery training: easy to learn, hard to perform,” Agata Kruzikova (Masaryk University, Czechia) and Vashek Matyas (Masaryk University, Czechia). In (2023) Proceedings of the 18th International Conference on Availability, Reliability and Security (ARES ’23) (Benevento, Italy), pp. 1-7.
• 🏆“SREP: out-of-band sync of transaction pools for large-scale blockchains,” Novak Boskov (Boston University), Ari Trachtenberg (Boston University), and David Starobinski (Boston University). In (2023) IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (Dubai). 
• TPMScan: a wide-scale study of security-relevant properties of TPM 2.0 chips,” Petr Svenda (Masaryk University, Czechia), Antonin Dufka (Masaryk University, Czechia), Milan Broz (Masaryk University, Czechia), Roman Lacko (Masaryk University, Czechia), Tomas Jaros (Masaryk University, Czechia), Daniel Zatovic (Red Hat), and Josef Pospisil (National Cyber and Information Security Agency, Czechia). In (2024) IACR Transactions on Cryptographic Hardware and Embedded Systems 2, pp. 714-34.
• Two-factor authentication time: how time-efficiency and time-satisfaction are associated with perceived security and satisfaction,” Agata Kruzikova (Masaryk University, Czechia), Michal Muzik (Masaryk University, Czechia), Lenka Knapova (Masaryk University, Czechia), Lenka Dedkova (Masaryk University, Czechia), David Smahel (Masaryk University, Czechia), and Vashek Matyas (Masaryk University, Czechia). In (2024) Computers & Security 138.
• “Uncovering CWE-CVE-CPE relations with threat knowledge graphs,” Zhenpeng Shi (Boston University), Nikolay Matyunin (Honda Research Institute, Germany), Kalman Graffi (Technische Hochschule Bingen, Germany), David Starobinski (Boston University). In (2024) Cryptography and Security 27: 1, pp. 1-26.
• “Understanding similarities and differences between software composition analysis tools,” Pranet Sharma (Boston University), Zhenpeng Shi (Boston University), Sevval Simsek (Boston University), David Starobinski (Boston University), and David Sastre Medina (Red Hat). Forthcoming in IEEE Security and Privacy. 
• “What Johnny thinks about using two-factor authentication on GitHub: a survey among open source developers,” Agata Kruzikova (Masaryk University, Czechia), Jakub Suchanek (Masaryk University, Czechia), Milan Broz (Masaryk University, Czechia), Martin Ukrop (Red Hat), and Vashek Matyas (Masaryk University, Czechia). In (2024) Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES ’24) (Vienna, Austria), Association for Computing Machinery, pp. 1–11.