Luis Ceze

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 96

Top Venues

Publications

Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR (2024)
Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys (2024)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. MLSys (2024)
Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys (2024)
Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Kai-Chiang Wu
Palu: Compressing KV-Cache with Low-Rank Projection. CoRR (2024)
Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) (2023)
Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving. CoRR (2023)
Caleb Winston, Max Willsey, Luis Ceze
Virtualizing Existing Fluidic Programs. ACM J. Emerg. Technol. Comput. Syst. 19 (3) (2023)
Lancelot Wathieu, Gus Henry Smith, Luis Ceze, Chris Thachuk
Fridge Compiler: Optimal Circuits from Molecular Inventories. CMSB (2023)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. CoRR (2023)
Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys (2022)
Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR (2022)
Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys (2022)
Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze
Automated Backend-Aware Post-Training Quantization. CoRR (2021)
Peter Ney, Lee Organick, Jeff Nivala, Luis Ceze, Tadayoshi Kohno
DNA Sequencing Flow Cells and the Security of the Molecular-Digital Interface. Proc. Priv. Enhancing Technol. 2021 (3) (2021)
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VSS: A Storage System for Video Analytics. SIGMOD Conference (2021)
Luis Vega, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze
Reticle: a virtual machine for programming modern FPGAs. PLDI (2021)
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VSS: A Storage System for Video Analytics [Technical Report]. CoRR (2021)
Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering. CoRR (2021)
Johannes Linder, Yuan-Jyue Chen, David Wong, Georg Seelig, Luis Ceze, Karin Strauss
Robust Digital Molecular Design of Binarized Neural Networks. DNA (2021)
Gus Henry Smith, Andrew Liu, Steven Lyubomirsky, Scott Davidson, Joseph McMahan, Michael B. Taylor, Luis Ceze, Zachary Tatlock
Pure tensor program rewriting via access patterns (representation pearl). MAPS@PLDI (2021)
Gus Henry Smith, Andrew Liu, Steven Lyubomirsky, Scott Davidson, Joseph McMahan, Michael B. Taylor, Luis Ceze, Zachary Tatlock
Pure Tensor Program Rewriting via Access Patterns (Representation Pearl). CoRR (2021)
Eddie Q. Yan, Liang Luo, Luis Ceze
Characterizing and Taming Resolution in Convolutional Neural Networks. CoRR (2021)
Chien-Yu Lin, Liang Luo, Luis Ceze
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks. CoRR (2021)
Eddie Q. Yan, Liang Luo, Luis Ceze
Characterizing and Taming Resolution in Convolutional Neural Networks. IISWC (2021)
Joshua Fromm, Meghan Cowan, Matthai Philipose, Luis Ceze, Shwetak N. Patel
Riptide: Fast End-to-End Binarized Neural Networks. MLSys (2020)
Peter Ney, Luis Ceze, Tadayoshi Kohno
Genotype Extraction and False Relative Attacks: Security Risks to Third-Party Genetic Genealogy Services Beyond Identity Inference. NDSS (2020)
Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VisualWorldDB: A DBMS for the Visual World. CIDR (2020)
Luis Vega, Jared Roesch, Joseph McMahan, Luis Ceze
LastLayer: Toward Hardware and Software Continuous Integration. IEEE Micro 40 (4) (2020)
Meghan Cowan, Thierry Moreau, Tianqi Chen, James Bornholt, Luis Ceze
Automatic generation of high-performance quantized machine learning kernels. CGO (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR (2020)
Gus Smith, Zachary Tatlock, Luis Ceze
Enumerating Hardware-Software Splits with Program Rewriting. CoRR (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. MLSys (2020)
James R. Larus, Luis Ceze, Karin Strauss
ASPLOS Report. IEEE Des. Test 37 (3) (2020)
Ashley P. Stephenson, Max Willsey, Jeff McBride, Sharon Newman, Bichlien Nguyen, Chris Takahashi, Karin Strauss, Luis Ceze
PurpleDrop: A Digital Microfluidics-Based Platform for Hybrid Molecular-Electronics Applications. IEEE Micro 40 (5) (2020)
Vincent T. Lee, Archibald Samuel Elliott, Armin Alaghi, Luis Ceze
Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming. CoRR (2019)
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
A Hardware-Software Blueprint for Flexible Deep Learning Specialization. IEEE Micro 39 (5) (2019)
Max Willsey, Vincent T. Lee, Alvin Cheung, Rastislav Bodík, Luis Ceze
Iterative Search for Reconfigurable Accelerator Blocks With a Compiler in the Loop. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (3) (2019)
Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin
Vignette: Perceptual Compression for Video Storage and Processing Systems. CoRR (2019)
Amrita Mazumdar, Brandon Haynes, Magda Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin
Perceptual Compression for Video Storage and Processing Systems. SoCC (2019)
Douglas M. Carmean, Luis Ceze, Georg Seelig, Kendall Stewart, Karin Strauss, Max Willsey
DNA Data Storage and Hybrid Molecular-Electronic Computing. Proc. IEEE 107 (1) (2019)
Brandon Haynes, Amrita Mazumdar, Magdalena Balazinska, Luis Ceze, Alvin Cheung
Visual Road: A Video Data Management Benchmark. SIGMOD Conference (2019)
Max Willsey, Ashley P. Stephenson, Chris Takahashi, Bichlien H. Nguyen, Karin Strauss, Luis Ceze
Scaling Microfluidics to Complex, Dynamic Protocols: Invited Paper. ICCAD (2019)
Amrita Mazumdar, Luis Ceze, Brandon Haynes, Alvin Cheung, Mark Oskin, Magda Balazinska
Perceptual Compression for Video Storage and Processing Systems. SoCC (2019)
Max Willsey, Ashley P. Stephenson, Chris Takahashi, Pranav Vaid, Bichlien H. Nguyen, Michal Piszczek, Christine Betts, Sharon Newman, Sarang Joshi, Karin Strauss, Luis Ceze
Puddle: A Dynamic, Error-Correcting, Full-Stack Microfluidics Platform. ASPLOS (2019)
Karin Strauss, Luis Ceze
DNA Data Storage and Near-Molecule Processing for the Yottabyte Era. CIDR (2019)
Kendall Stewart, Yuan-Jyue Chen, David Ward, Xiaomeng Liu, Georg Seelig, Karin Strauss, Luis Ceze
A Content-Addressable DNA Database with Learned Sequence Encodings. DNA (2018)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: End-to-End Optimization Stack for Deep Learning. CoRR (2018)
Vincent T. Lee, Armin Alaghi, Luis Ceze, Mark Oskin
Stochastic Synthesis for Stochastic Computing. CoRR (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training. CoRR (2018)
Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze
Automating Generation of Low Precision Deep Learning Operators. CoRR (2018)
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. CoRR (2018)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. OSDI (2018)
Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magdalena Balazinska, Luis Ceze, Alvin Cheung
LightDB: A DBMS for Virtual Reality Video. Proc. VLDB Endow. 11 (10) (2018)
Vincent T. Lee, Armin Alaghi, Luis Ceze
Correlation manipulating circuits for stochastic computing. DATE (2018)
Sung Kim, Patrick Howe, Thierry Moreau, Armin Alaghi, Luis Ceze, Visvesh S. Sathe
Energy-Efficient Neural Network Acceleration in the Presence of Bit-Level Memory Errors. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. NeurIPS (2018)
Sung Kim, Patrick Howe, Thierry Moreau, Armin Alaghi, Luis Ceze, Visvesh Sathe
MATIC: Learning around errors for efficient low-voltage neural network accelerators. DATE (2018)
Vincent T. Lee, Amrita Mazumdar, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin
Application Codesign of Near-Data Processing for Similarity Search. IPDPS (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. SoCC (2018)
Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson
A Taxonomy of General Purpose Approximate Computing Techniques. IEEE Embed. Syst. Lett. 10 (1) (2018)
Thierry Moreau, Tianqi Chen, Luis Ceze
Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference. ReQuEST@ASPLOS (2018)
Vincent T. Lee, Armin Alaghi, Rajesh Pamula, Visvesh S. Sathe, Luis Ceze, Mark Oskin
Architecture Considerations for Stochastic Computing Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Liang Luo, Suman Nath, Lenin Ravindranath Sivalingam, Madan Musuvathi, Luis Ceze
Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging. USENIX Annual Technical Conference (2018)
Peter M. Ney, Luis Ceze, Tadayoshi Kohno
Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases. CoRR (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. CoRR (2018)
Vincent T. Lee, Armin Alaghi, Luis Ceze
Correlation Manipulating Circuits for Stochastic Computing. CoRR (2018)
Thierry Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, Luis Ceze
Exploiting quality-energy tradeoffs with arbitrary quantization: special session paper. CODES+ISSS (2017)
Eddie Q. Yan, Kaiyuan Zhang, Xi Wang, Karin Strauss, Luis Ceze
Customizing Progressive JPEG for Efficient Image Storage. HotStorage (2017)
Amrita Mazumdar, Armin Alaghi, Jonathan T. Barron, David Gallup, Luis Ceze, Mark Oskin, Steven M. Seitz
A hardware-friendly bilateral solver for real-time virtual reality video. High Performance Graphics (2017)
Vincent T. Lee, Armin Alaghi, John P. Hayes, Visvesh Sathe, Luis Ceze
Energy-efficient hybrid stochastic-binary neural networks for near-sensor computing. DATE (2017)
Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya
IncBricks: Toward In-Network Computation with an In-Network Cache. ASPLOS (2017)
Peter Ney, Karl Koscher, Lee Organick, Luis Ceze, Tadayoshi Kohno
Computer Security, Privacy, and DNA Sequencing: Compromising Computers with Synthesized DNA, Privacy Leaks, and More. USENIX Security Symposium (2017)
James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss
Toward a DNA-Based Archival Storage System. IEEE Micro 37 (3) (2017)
Vincent T. Lee, Amrita Mazumdar, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin
POSTER: Application-Driven Near-Data Processing for Similarity Search. PACT (2017)
Vincent T. Lee, Justin Kotalik, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin
Similarity Search on Automata Processors. IPDPS (2017)
Vincent T. Lee, Armin Alaghi, John P. Hayes, Visvesh Sathe, Luis Ceze
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing. CoRR (2017)
Amrita Mazumdar, Thierry Moreau, Sung Kim, Meghan Cowan, Armin Alaghi, Luis Ceze, Mark Oskin, Visvesh Sathe
Exploring Computation-Communication Tradeoffs in Camera Systems. CoRR (2017)
Cyrus Rashtchian, Konstantin Makarychev, Miklós Z. Rácz, Siena Ang, Djordje Jevdjic, Sergey Yekhanin, Luis Ceze, Karin Strauss
Clustering Billions of Reads for DNA Data Storage. NIPS (2017)
Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam, Thomas F. Wenisch
Democratizing Design for Future Computing Platforms. CoRR (2017)
Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze, Alvin Cheung
VisualCloud Demonstration: A DBMS for Virtual Reality. SIGMOD Conference (2017)
Magdalena Balazinska, Luis Ceze, Alvin Cheung, Brian Curless, Steven M. Seitz
A Visual Cloud for Virtual Reality Applications. CIDR (2017)
Djordje Jevdjic, Karin Strauss, Luis Ceze, Henrique S. Malvar
Approximate Storage of Compressed and Encrypted Videos. ASPLOS (2017)
Margaret E. Morris, Douglas M. Carmean, Artem Minyaylov, Luis Ceze
Augmenting Interpersonal Communication through Connected Lighting. CHI Extended Abstracts (2017)
Daniel Porto, João Loff, Rui Policarpo Duarte, Luis Ceze, Rodrigo Rodrigues
Making data center computations fast, but not so furious. CoRR (2017)
Amrita Mazumdar, Thierry Moreau, Sung Kim, Meghan Cowan, Armin Alaghi, Luis Ceze, Mark Oskin, Visvesh Sathe
Exploring computation-communication tradeoffs in camera systems. IISWC (2017)
Brandon Holt, James Bornholt, Irene Zhang, Dan R. K. Ports, Mark Oskin, Luis Ceze
Disciplined Inconsistency with Consistency Types. SoCC (2016)
Vincent T. Lee, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin, Ali Farhadi
NCAM: Near-Data Processing for Nearest Neighbor Search. CoRR (2016)
James Bornholt, Emina Torlak, Dan Grossman, Luis Ceze
Optimizing synthesis with metasketches. POPL (2016)
Vincent T. Lee, Justin Kotalik, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin
Near Memory Similarity Search on Automata Processors. CoRR (2016)
James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss
A DNA-Based Archival Storage System. ASPLOS (2016)
Mark D. Hill, Sarita V. Adve, Luis Ceze, Mary Jane Irwin, David R. Kaeli, Margaret Martonosi, Josep Torrellas, Thomas F. Wenisch, David A. Wood, Katherine A. Yelick
21st Century Computer Architecture. CoRR (2016)
Luis Ceze, Mark D. Hill, Thomas F. Wenisch
Arch2030: A Vision of Computer Architecture Research over the Next 15 Years. CoRR (2016)
Luis Ceze, Adrian Sampson
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-Design. GetMobile Mob. Comput. Commun. 20 (3) (2016)
Qing Guo, Karin Strauss, Luis Ceze, Henrique S. Malvar
High-Density Image Storage Using Approximate Memory Cells. ASPLOS (2016)
Jacob Nelson, Brandon Holt, Brandon Myers, Preston Briggs, Luis Ceze, Simon Kahan, Mark Oskin
Latency-Tolerant Software Distributed Shared Memory. USENIX Annual Technical Conference (2015)
Benjamin Ransford, Luis Ceze
SAP: an Architecture for Selectively Approximate Wireless Communication. CoRR (2015)
Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin
SNNAP: Approximate computing on programmable SoCs via neural acceleration. HPCA (2015)
Carlo C. del Mundo, Vincent T. Lee, Luis Ceze, Mark Oskin
NCAM: Near-Data Processing for Nearest Neighbor Search. MEMSYS (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luis Ceze