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Luis Ceze
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- affiliation: University of Washington, Seattle, WA, USA
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2020 – today
- 2024
- [j32]Luis Ceze
:
Optimizing Convolution Neural Nets with a Unified Transformation Approach. Commun. ACM 67(10): 91 (2024) - [c108]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 - [c107]Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy:
Punica: Multi-Tenant LoRA Serving. MLSys 2024 - [c106]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 - [i34]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 abs/2406.06542 (2024) - [i33]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 abs/2407.21118 (2024) - 2023
- [j31]Caleb Winston
, Max Willsey
, Luis Ceze
:
Virtualizing Existing Fluidic Programs. ACM J. Emerg. Technol. Comput. Syst. 19(3): 27:1-27:14 (2023) - [c105]Zihao Ye
, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze:
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) 2023: 660-678 - [c104]Lancelot Wathieu
, Gus Henry Smith, Luis Ceze, Chris Thachuk:
Fridge Compiler: Optimal Circuits from Molecular Inventories. CMSB 2023: 236-252 - [i32]Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy:
Punica: Multi-Tenant LoRA Serving. CoRR abs/2310.18547 (2023) - [i31]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 abs/2310.19102 (2023) - 2022
- [c103]Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze:
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys 2022 - [c102]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 - [i30]Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze:
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR abs/2207.04606 (2022) - 2021
- [j30]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): 413-432 (2021) - [c101]Johannes Linder, Yuan-Jyue Chen, David Wong
, Georg Seelig, Luis Ceze, Karin Strauss:
Robust Digital Molecular Design of Binarized Neural Networks. DNA 2021: 1:1-1:20 - [c100]Eddie Q. Yan, Liang Luo, Luis Ceze:
Characterizing and Taming Resolution in Convolutional Neural Networks. IISWC 2021: 189-200 - [c99]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: 21-31 - [c98]Luis Vega
, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze:
Reticle: a virtual machine for programming modern FPGAs. PLDI 2021: 756-771 - [c97]Brandon Haynes, Maureen Daum, Dong He
, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung
, Luis Ceze:
VSS: A Storage System for Video Analytics. SIGMOD Conference 2021: 685-696 - [i29]Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze:
Automated Backend-Aware Post-Training Quantization. CoRR abs/2103.14949 (2021) - [i28]Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze:
VSS: A Storage System for Video Analytics [Technical Report]. CoRR abs/2103.16604 (2021) - [i27]Chien-Yu Lin, Liang Luo, Luis Ceze:
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks. CoRR abs/2104.10716 (2021) - [i26]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 abs/2105.09377 (2021) - [i25]Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze:
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering. CoRR abs/2105.14088 (2021) - [i24]Eddie Q. Yan, Liang Luo, Luis Ceze:
Characterizing and Taming Resolution in Convolutional Neural Networks. CoRR abs/2110.14819 (2021) - 2020
- [j29]James R. Larus
, Luis Ceze
, Karin Strauss:
ASPLOS Report. IEEE Des. Test 37(3): 119-123 (2020) - [j28]Luis Vega, Jared Roesch, Joseph McMahan, Luis Ceze:
LastLayer: Toward Hardware and Software Continuous Integration. IEEE Micro 40(4): 103-111 (2020) - [j27]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): 76-86 (2020) - [c96]Meghan Cowan, Thierry Moreau, Tianqi Chen, James Bornholt, Luis Ceze:
Automatic generation of high-performance quantized machine learning kernels. CGO 2020: 305-316 - [c95]Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung
, Luis Ceze:
VisualWorldDB: A DBMS for the Visual World. CIDR 2020 - [c94]Joshua Fromm, Meghan Cowan, Matthai Philipose, Luis Ceze, Shwetak N. Patel:
Riptide: Fast End-to-End Binarized Neural Networks. MLSys 2020 - [c93]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 - [c92]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 - [e3]James R. Larus, Luis Ceze, Karin Strauss:
ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, March 16-20, 2020. ACM 2020, ISBN 978-1-4503-7102-5 [contents]ASPLOS 2020 was canceled because of COVID-19. - [i23]Gus Henry Smith, Zachary Tatlock, Luis Ceze:
Enumerating Hardware-Software Splits with Program Rewriting. CoRR abs/2003.00290 (2020) - [i22]Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze:
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR abs/2011.14243 (2020)
2010 – 2019
- 2019
- [j26]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): 8-16 (2019) - [j25]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): 63-72 (2019) - [j24]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): 407-418 (2019) - [c91]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: 183-197 - [c90]Karin Strauss, Luis Ceze:
DNA Data Storage and Near-Molecule Processing for the Yottabyte Era. CIDR 2019 - [c89]Amrita Mazumdar, Brandon Haynes, Magda Balazinska, Luis Ceze, Alvin Cheung
, Mark Oskin:
Perceptual Compression for Video Storage and Processing Systems. SoCC 2019: 179-192 - [c88]Max Willsey, Ashley P. Stephenson, Chris Takahashi, Bichlien H. Nguyen, Karin Strauss, Luis Ceze:
Scaling Microfluidics to Complex, Dynamic Protocols: Invited Paper. ICCAD 2019: 1-6 - [c87]Brandon Haynes, Amrita Mazumdar, Magdalena Balazinska, Luis Ceze, Alvin Cheung
:
Visual Road: A Video Data Management Benchmark. SIGMOD Conference 2019: 972-987 - [i21]Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin:
Vignette: Perceptual Compression for Video Storage and Processing Systems. CoRR abs/1902.01372 (2019) - [i20]Vincent T. Lee, Archibald Samuel Elliott, Armin Alaghi, Luis Ceze:
Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming. CoRR abs/1902.05971 (2019) - 2018
- [j23]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): 2-5 (2018) - [j22]Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magdalena Balazinska, Luis Ceze, Alvin Cheung
:
LightDB: A DBMS for Virtual Reality Video. Proc. VLDB Endow. 11(10): 1192-1205 (2018) - [j21]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): 2277-2289 (2018) - [j20]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. 65-I(12): 4285-4298 (2018) - [c86]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: 5 - [c85]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: 41-54 - [c84]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: 1-6 - [c83]Vincent T. Lee, Armin Alaghi, Luis Ceze:
Correlation manipulating circuits for stochastic computing. DATE 2018: 1417-1422 - [c82]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: 55-70 - [c81]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: 896-907 - [c80]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. NeurIPS 2018: 3393-3404 - [c79]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: 578-594 - [c78]Liang Luo, Suman Nath, Lenin Ravindranath Sivalingam, Madan Musuvathi, Luis Ceze:
Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging. USENIX ATC 2018: 321-334 - [e2]Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell:
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, ReQuEST@ASPLOS 2018, Williamsburg, VA, USA, March 24, 2018. ACM 2018 [contents] - [i19]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training. CoRR abs/1801.09805 (2018) - [i18]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 abs/1802.04799 (2018) - [i17]Vincent T. Lee, Armin Alaghi, Luis Ceze:
Correlation Manipulating Circuits for Stochastic Computing. CoRR abs/1803.04862 (2018) - [i16]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. CoRR abs/1805.07891 (2018) - [i15]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. CoRR abs/1805.08166 (2018) - [i14]Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR abs/1807.04188 (2018) - [i13]Peter M. Ney, Luis Ceze, Tadayoshi Kohno:
Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases. CoRR abs/1810.02895 (2018) - [i12]Vincent T. Lee, Armin Alaghi, Luis Ceze, Mark Oskin:
Stochastic Synthesis for Stochastic Computing. CoRR abs/1810.04756 (2018) - [i11]Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze:
Automating Generation of Low Precision Deep Learning Operators. CoRR abs/1810.11066 (2018) - 2017
- [j19]James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss:
Toward a DNA-Based Archival Storage System. IEEE Micro 37(3): 98-104 (2017) - [c77]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: 132-133 - [c76]Djordje Jevdjic, Karin Strauss, Luis Ceze, Henrique S. Malvar:
Approximate Storage of Compressed and Encrypted Videos. ASPLOS 2017: 361-373 - [c75]Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya:
IncBricks: Toward In-Network Computation with an In-Network Cache. ASPLOS 2017: 795-809 - [c74]Margaret E. Morris
, Douglas M. Carmean, Artem Minyaylov, Luis Ceze:
Augmenting Interpersonal Communication through Connected Lighting. CHI Extended Abstracts 2017: 1924-1931 - [c73]Magdalena Balazinska, Luis Ceze, Alvin Cheung, Brian Curless, Steven M. Seitz:
A Visual Cloud for Virtual Reality Applications. CIDR 2017 - [c72]Thierry Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, Luis Ceze:
Exploiting quality-energy tradeoffs with arbitrary quantization: special session paper. CODES+ISSS 2017: 30:1-30:2 - [c71]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: 13-18 - [c70]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: 13:1-13:10 - [c69]Eddie Q. Yan, Kaiyuan Zhang, Xi Wang, Karin Strauss, Luis Ceze:
Customizing Progressive JPEG for Efficient Image Storage. HotStorage 2017 - [c68]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: 177-186 - [c67]Vincent T. Lee, Justin Kotalik, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin:
Similarity Search on Automata Processors. IPDPS 2017: 523-534 - [c66]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: 3360-3371 - [c65]Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze, Alvin Cheung
:
VisualCloud Demonstration: A DBMS for Virtual Reality. SIGMOD Conference 2017: 1615-1618 - [c64]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: 765-779 - [i10]Daniel Porto, João Loff, Rui Policarpo Duarte
, Luis Ceze, Rodrigo Rodrigues:
Making data center computations fast, but not so furious. CoRR abs/1704.05112 (2017) - [i9]Vincent T. Lee, Armin Alaghi, John P. Hayes, Visvesh Sathe, Luis Ceze:
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing. CoRR abs/1706.02344 (2017) - [i8]Amrita Mazumdar, Thierry Moreau, Sung Kim, Meghan Cowan, Armin Alaghi, Luis Ceze, Mark Oskin, Visvesh Sathe:
Exploring Computation-Communication Tradeoffs in Camera Systems. CoRR abs/1706.03864 (2017) - [i7]Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam, Thomas F. Wenisch:
Democratizing Design for Future Computing Platforms. CoRR abs/1706.08597 (2017) - 2016
- [j18]Luis Ceze, Adrian Sampson
:
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-Design. GetMobile Mob. Comput. Commun. 20(3): 12-16 (2016) - [c63]Qing Guo, Karin Strauss, Luis Ceze, Henrique S. Malvar:
High-Density Image Storage Using Approximate Memory Cells. ASPLOS 2016: 413-426 - [c62]James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss:
A DNA-Based Archival Storage System. ASPLOS 2016: 637-649 - [c61]Brandon Holt, James Bornholt, Irene Zhang, Dan R. K. Ports, Mark Oskin, Luis Ceze:
Disciplined Inconsistency with Consistency Types. SoCC 2016: 279-293 - [c60]James Bornholt, Emina Torlak, Dan Grossman, Luis Ceze:
Optimizing synthesis with metasketches. POPL 2016: 775-788 - [i6]Vincent T. Lee, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin, Ali Farhadi:
NCAM: Near-Data Processing for Nearest Neighbor Search. CoRR abs/1606.03742 (2016) - [i5]Vincent T. Lee, Justin Kotalik, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin:
Near Memory Similarity Search on Automata Processors. CoRR abs/1608.03175 (2016) - [i4]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 abs/1609.06756 (2016) - [i3]Luis Ceze, Mark D. Hill, Thomas F. Wenisch:
Arch2030: A Vision of Computer Architecture Research over the Next 15 Years. CoRR abs/1612.03182 (2016) - 2015
- [j17]Hadi Esmaeilzadeh, Adrian Sampson
, Luis Ceze, Doug Burger:
Neural acceleration for general-purpose approximate programs. Commun. ACM 58(1): 105-115 (2015) - [j16]Luis Ceze, Karin Strauss:
The 2014 Top Picks in Computer Architecture. IEEE Micro 35(3): 5-9 (2015) - [j15]Olivier Temam, Luis Ceze:
Alternative Computing Designs and Technologies. IEEE Micro 35(5): 4-5 (2015) - [j14]Thierry Moreau, Adrian Sampson
, Luis Ceze:
Approximate Computing: Making Mobile Systems More Efficient. IEEE Pervasive Comput. 14(2): 9-13 (2015) - [j13]Jacob Nelson, Brandon Holt, Brandon Myers, Preston Briggs, Simon Kahan, Luis Ceze, Mark Oskin:
Trading Latency for Performance in Data-Intensive Applications. login Usenix Mag. 40(5) (2015) - [c59]Michael F. Ringenburg
, Adrian Sampson
, Isaac Ackerman, Luis Ceze, Dan Grossman:
Monitoring and Debugging the Quality of Results in Approximate Programs. ASPLOS 2015: 399-411 - [c58]Brandon Lucia, Luis Ceze:
Data provenance tracking for concurrent programs. CGO 2015: 146-156 - [c57]Brandon Holt, Irene Zhang, Dan R. K. Ports, Mark Oskin, Luis Ceze:
Claret: using data types for highly concurrent distributed transactions. PaPoC@EuroSys 2015: 4:1-4:4 - [c56]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: 603-614 - [c55]Carlo C. del Mundo, Vincent T. Lee, Luis Ceze, Mark Oskin:
NCAM: Near-Data Processing for Nearest Neighbor Search. MEMSYS 2015: 274-275 - [c54]Brett Boston, Adrian Sampson
, Dan Grossman, Luis Ceze:
Probability type inference for flexible approximate programming. OOPSLA 2015: 470-487 - [c53]Adrian Sampson
, James Bornholt, Luis Ceze:
Hardware-Software Co-Design: Not Just a Cliché. SNAPL 2015: 262-273 - [c52]Jacob Nelson, Brandon Holt, Brandon Myers, Preston Briggs, Luis Ceze, Simon Kahan, Mark Oskin:
Latency-Tolerant Software Distributed Shared Memory. USENIX ATC 2015: 291-305 - [i2]Benjamin Ransford, Luis Ceze:
SAP: an Architecture for Selectively Approximate Wireless Communication. CoRR abs/1510.03955 (2015) - 2014
- [j12]Rekai González-Alberquilla, Fernando Emmanuel Frati
, Luis Piñuel, Karin Strauss, Luis Ceze:
Data Race Detection with Minimal Hardware Support. Comput. J. 57(5): 675-692 (2014) - [j11]