T
Todd C. Mowry
Researcher at Carnegie Mellon University
Publications - 117
Citations - 9806
Todd C. Mowry is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Cache & Compiler. The author has an hindex of 49, co-authored 113 publications receiving 9137 citations. Previous affiliations of Todd C. Mowry include University of Toronto & Stanford University.
Papers
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Book ChapterDOI
Towards Breaking the Memory Bandwidth Wall Using Approximate Value Prediction
TL;DR: This chapter introduces an approximation technique, called rollback-free value prediction (RFVP), which mitigates the memory wall by enabling the execution to continue without stalling for long-latency memory accesses, hence reducing memory bandwidth contention by removing them from the system.
Proceedings ArticleDOI
Multiversioned Page Overlays: Enabling Faster Serializable Hardware Transactional Memory
TL;DR: This paper presents a new approach to multiversioning support (Multiversioned Page Overlays) along with a new HTM design that it enables: OverlayTM, which takes advantage of multiversions to reduce unnecessary transaction aborts while providing full serializable semantics.
Proceedings Article
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Rajiv Gupta,Todd C. Mowry +1 more
TL;DR: This year's conference continues and reinforces the ASPLOS tradition of publishing innovative multidisciplinary research spanning the boundaries of hardware, computer architecture, compilers, languages, operating systems, networking, and applications.
Proceedings Article
Tiger: Disk-Adaptive Redundancy Without Placement Restrictions
Nikhil Agarwal,Daiyaan Arfeen,Nikhil Arora,Sanjith Athlur,Nirav Atre,Mohammad Bakhshalipour,Matthew Butrovich,Zixuan Chen,Neville Chima,Yae Jee Cho,Valerie Choung,Andrew Chung,Pratik Fegade,Samarth Gupta,Eeshwar Gurushankar,Travis J. Hance,G. Hess,A. Jain,Je Deok Jeon,Ellango Jothimurugesan,Shanta Kamath,Akshath Karanam,Thomas Kim,Ti Tongil Kim,Jack Kosaian,Joseph Koshakow,Michael Kuchnik,Wan Shen Lim,Elliot Lockerman,Hao Lu,Francisco J Maturana,Sara E. McAllister,Gauri Joshi,Todd C. Mowry,D.O. O'Hallaron,Andrew Pavlo,M. Sakr +36 more
TL;DR: In this paper , the authors present Modernizing Models for modernizing models, and propose a new approach to improve the model's performance, which they call Modernizing Model Modernization.
Proceedings ArticleDOI
Filter Representation in Vectorized Query Execution
Amadou Ngom,Prashanth Menon,Matthew Butrovich,Lin Ma,Wan Shen Lim,Todd C. Mowry,Andrew Pavlo +6 more
TL;DR: In this article, the authors analyze the performance of batch-oriented data processing and propose a vectorization strategy for database management systems (DBMSs) to reduce interpretation overhead by using SIMD instructions.