Kim M. Hazelwood
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
15
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CGO | Revealing Compiler Heuristics Through Automated Discovery and Optimization. | Volker Seeker, Chris Cummins, Murray Cole, Bjrn Franke, Kim M. Hazelwood, Hugh Leather |
| 2022 | CC | Caviar: an e-graph based TRS for automatic code optimization. | Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi |
| 2022 | CGO | F3M: Fast Focused Function Merging. | Sean Stirling, Rodrigo C. O. Rocha, Kim M. Hazelwood, Hugh Leather, Michael F. P. O'Boyle, Pavlos Petoumenos |
| 2021 | HPCA | Understanding Training Efficiency of Deep Learning Recommendation Models at Scale. | Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim M. Hazelwood |
| 2021 | PLDI | Developer and user-transparent compiler optimization for interactive applications. | Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather |
| 2020 | HPCA | The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. | Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang |
| 2020 | ISCA | RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. | Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang |
| 2019 | HPCA | Machine Learning at Facebook: Understanding Inference at the Edge. | Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang |
| 2018 | EuroSys | Reducing DRAM footprint with NVM in facebook. | Assaf Eisenman, Darryl Gardner, Islam AbdelRahman, Jens Axboe, Siying Dong, Kim M. Hazelwood, Chris Petersen, Asaf Cidon, Sachin Katti |
| 2018 | HPCA | Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. | Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang |
| 2015 | ISCA | Profiling a warehouse-scale computer. | Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks |
| 2012 | SIGCSE | EcoSim: a language and experience teaching parallel programming in elementary school. | Chris Gregg, Luther A. Tychonievich, James P. Cohoon, Kim M. Hazelwood |
| 2011 | ASPLOS | Analyzing program flow within a many-kernel OpenCL application. | Perhaad Mistry, Chris Gregg, Norman Rubin, David R. Kaeli, Kim M. Hazelwood |
| 2011 | DAC | Process-level virtualization for runtime adaptation of embedded software. | Kim M. Hazelwood |
| 2011 | ISPASS | Where is the data? Why you cannot debate CPU vs. GPU performance without the answer. | Chris Gregg, Kim M. Hazelwood |
| 2011 | ISPASS | Performance characterization of mobile-class nodes: Why fewer bits is better. | Michelle McDaniel, Kim M. Hazelwood |
| 2011 | ISPASS | Finding cool code: An analysis of source-level causes of temperature effects. | Dan Upton, Kim M. Hazelwood |
| 2010 | CASES | Balancing memory and performance through selective flushing of software code caches. | Apala Guha, Kim M. Hazelwood, Mary Lou Soffa |
| 2010 | ISPASS | Dynamic program analysis of Microsoft Windows applications. | Alex Skaletsky, Tevi Devor, Nadav Chachmon, Robert S. Cohn, Kim M. Hazelwood, Vladimir Vladimirov, Moshe Bach |
| 2010 | VEE | DBT path selection for holistic memory efficiency and performance. | Apala Guha, Kim M. Hazelwood, Mary Lou Soffa |
| 2009 | MEMOCODE | A cross-layer approach to heterogeneity and reliability. | Daniel W. Williams, Aprotim Sanyal, Dan Upton, Jason Mars, Sudeep Ghosh, Kim M. Hazelwood |
| 2008 | VEE | Trace fragment selection within method-based JVMs. | Duane Merrill, Kim M. Hazelwood |
| 2007 | CGO | SuperPin: Parallelizing Dynamic Instrumentation for Real-Time Performance. | Steven Wallace, Kim M. Hazelwood |
| 2006 | CASES | A dynamic binary instrumentation engine for the ARM architecture. | Kim M. Hazelwood, Artur Klauser |
| 2006 | CGO | A Cross-Architectural Interface for Code Cache Manipulation. | Kim M. Hazelwood, Robert S. Cohn |
| 2005 | MICRO | Improving Region Selection in Dynamic Optimization Systems. | David Hiniker, Kim M. Hazelwood, Michael D. Smith |
| 2005 | PLDI | Pin: building customized program analysis tools with dynamic instrumentation. | Chi-Keung Luk, Robert S. Cohn, Robert Muth, Harish Patil, Artur Klauser, P. Geoffrey Lowney, Steven Wallace, Vijay Janapa Reddi, Kim M. Hazelwood |
| 2004 | CGO | Exploring Code Cache Eviction Granularities in Dynamic Optimization Systems. | Kim M. Hazelwood, James E. Smith |
| 2004 | ISLPED | Eliminating voltage emergencies via microarchitectural voltage control feedback and dynamic optimization. | Kim M. Hazelwood, David M. Brooks |
| 2003 | CGO | Adaptive Online Context-Sensitive Inlining. | Kim M. Hazelwood, David Grove |
| 2003 | MICRO | Generational Cache Management of Code Traces in Dynamic Optimization Systems. | Kim M. Hazelwood, Michael D. Smith |