77 entries « 1 of 2 »

2019

Yiping Kang, Yunqi Zhang, Jonathan K Kummerfeld, Parker Hill, Johann Hauswald, Michael A Laurenzano, Lingjia Tang, Jason Mars

Systems and methods for intelligently curating machine learning training data and improving machine learning model performance Miscellaneous

2019, (US Patent App. 16/379,978).

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Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald, Parker Hill

System and method for implementing an artificially intelligent virtual assistant using machine learning Miscellaneous

2019, (US Patent App. 15/821,010).

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Yiping Kang, Yunqi Zhang, Jonathan K Kummerfeld, Parker Hill, Johann Hauswald, Michael A Laurenzano, Lingjia Tang, Jason Mars

Systems and methods for intelligently curating machine learning training data and improving machine learning model performance Miscellaneous

2019, (US Patent App. 16/143,773).

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Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald

Systems and method for automatically configuring machine learning models Miscellaneous

2019, (US Patent 10,296,848).

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Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang

GrandSLAm: Guaranteeing SLAs for jobs in microservices execution frameworks Inproceedings

Proceedings of the Fourteenth EuroSys Conference 2019, pp. 34, ACM 2019.

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Manish Arora, Matt Skach, Wei Huang, Xudong An, Jason Mars, Lingjia Tang, Dean M Tullsen

Understanding the Impact of Socket Density in Density Optimized Servers Inproceedings

2019 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 687–700, IEEE 2019.

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Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald

System and method for implementing an artificially intelligent virtual assistant using machine learning Miscellaneous

2019, (US Patent App. 15/797,414).

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Lingjia Tang, Jason Mars, Robert Hundt

System and methods for sharing memory subsystem resources among datacenter applications Miscellaneous

2019, (US Patent App. 15/189,885).

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Ram Srivatsa Kannan, Michael Laurenzano, Jeongseob Ahn, Jason Mars, Lingjia Tang

Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources Journal Article

ACM Transactions on Architecture and Code Optimization (TACO), 16 (3), pp. 22, 2019.

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Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald

Systems and method for automatically configuring machine learning models Miscellaneous

2019, (US Patent App. 16/375,150).

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2018

R S Kannan, A Jain, M A Laurenzano, L Tang, J Mars

Proctor: Detecting and Investigating Interference in Shared Datacenters Inproceedings

2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 76-86, 2018.

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Chang-Hong Hsu, Qingyuan Deng, Jason Mars, Lingjia Tang

SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters Inproceedings

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 535–548, ACM, Williamsburg, VA, USA, 2018, ISBN: 978-1-4503-4911-6.

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Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md E Haque, Lingjia Tang, Jason Mars

The Architectural Implications of Autonomous Driving: Constraints and Acceleration Inproceedings

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 751–766, ACM, Williamsburg, VA, USA, 2018, ISBN: 978-1-4503-4911-6.

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Matt Skach, Manish Arora, Dean Tullsen, Lingjia Tang, Jason Mars

Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials Inproceedings

Proceedings of the 45th Annual International Symposium on Computer Architecture, ACM, 2018.

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Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko

Gist: Efficient Data Encoding for Deep Neural Network Training Inproceedings

Proceedings of the 45th Annual International Symposium on Computer Architecture, ACM, 2018.

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Yiping Kang, Yunqi Zhang, Jonathan K Kummerfeld, Lingjia Tang, Jason Mars

Data Collection for a Production Dialogue System: A Clinc Perspective Inproceedings

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers), pp. 33–40, 2018.

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Animesh Jian, Michael Laurenzano, Gilles Pokam, Jason Mars, Lingjia Tang

Architectural Support for Convolutional Neural Networks on Modern CPUs Inproceedings

Proceedings of the International Conference on Parallel Architectures and Compilation, ACM, New York, NY, USA, 2018.

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Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Lingjia Tang, Jason Mars

Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features Inproceedings

Proceedings of the Annual Symposium on User Interface Software and Technology, ACM, New York, NY, USA, 2018.

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Jason Mars, Michael Laurenzano, Lingjia Tang

Runtime compiler environment with dynamic co-located code execution Miscellaneous

2018, (US Patent 9,921,859).

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2017

Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A Laurenzano, Scott Mahlke, Lingjia Tang, Jason Mars

DeftNN: Addressing Bottlenecks for DNN Execution on GPUs via Synapse Vector Elimination and Near-compute Data Fission Inproceedings

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 786–799, ACM, Cambridge, Massachusetts, 2017, ISBN: 978-1-4503-4952-9.

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Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, Jason Mars

PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP Inproceedings

Proceedings of the 44th Annual International Symposium on Computer Architecture, pp. 133–146, ACM, Toronto, ON, Canada, 2017, ISBN: 978-1-4503-4892-8.

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Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor Mudge, Jason Mars, Lingjia Tang

Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge Inproceedings

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 615–629, ACM, Xián, China, 2017, ISBN: 978-1-4503-4465-4.

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Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, Lingjia Tang

Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers Inproceedings

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 17–32, ACM, Xián, China, 2017, ISBN: 978-1-4503-4465-4.

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Chang-Hong Hsu, Yunqi Zhang, Michael A Laurenzano, David Meisner, Thomas Wenisch, Ronald G Dreslinski, Jason Mars, Lingjia Tang

Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline Journal Article

ACM Trans. Comput. Syst., 35 (1), pp. 2:1–2:33, 2017, ISSN: 0734-2071.

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M Skach, M Arora, C H Hsu, Q Li, D Tullsen, L Tang, J Mars

Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials Journal Article

IEEE Internet Computing, 21 (4), pp. 34-43, 2017, ISSN: 1089-7801.

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Robert Hundt, Lingjia Tang, Jason Mars

Allocation of tasks in large scale computing systems Miscellaneous

2017, (US Patent 9,563,532).

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Jason Mars, Michael Laurenzano, Lingjia Tang

Runtime Compiler Environment With Dynamic Co-Located Code Execution Miscellaneous

2017, (US Patent App. 15/428,917).

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2016

S Zekany, D Rings, N Harada, M A Laurenzano, L Tang, J Mars

CrystalBall: Statically analyzing runtime behavior via deep sequence learning Inproceedings

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 1-12, 2016.

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A Jain, P Hill, S C Lin, M Khan, M E Haque, M A Laurenzano, S Mahlke, L Tang, J Mars

Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation Inproceedings

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 1-13, 2016.

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A Jain, M A Laurenzano, L Tang, J Mars

Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting Inproceedings

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 1-12, 2016.

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J Hauswald, M A Laurenzano, Y Zhang, C Li, A Rovinski, A Khurana, R G Dreslinski, T Mudge, V Petrucci, L Tang, J Mars

Sirius Implications for Future Warehouse-Scale Computers Journal Article

IEEE Micro, 36 (3), pp. 42-53, 2016, ISSN: 0272-1732.

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Johann Hauswald, Michael A Laurenzano, Yunqi Zhang, Hailong Yang, Yiping Kang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars

Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant Journal Article

ACM Trans. Comput. Syst., 34 (1), pp. 2:1–2:32, 2016, ISSN: 0734-2071.

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Michael A Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars

PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures Inproceedings

Proceedings of the 43rd International Symposium on Computer Architecture, pp. 140–152, IEEE Press, Seoul, Republic of Korea, 2016, ISBN: 978-1-4673-8947-1.

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Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang

Treadmill: Attributing the Source of Tail Latency Through Precise Load Testing and Statistical Inference Inproceedings

Proceedings of the 43rd International Symposium on Computer Architecture, pp. 456–468, IEEE Press, Seoul, Republic of Korea, 2016, ISBN: 978-1-4673-8947-1.

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Michael A Laurenzano, Parker Hill, Mehrzad Samadi, Scott Mahlke, Jason Mars, Lingjia Tang

Input Responsiveness: Using Canary Inputs to Dynamically Steer Approximation Inproceedings

Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, pp. 161–176, ACM, Santa Barbara, CA, USA, 2016, ISBN: 978-1-4503-4261-2.

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Quan Chen, Hailong Yang, Jason Mars, Lingjia Tang

Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers Inproceedings

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 681–696, ACM, Atlanta, Georgia, USA, 2016, ISBN: 978-1-4503-4091-5.

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Lingjia Tang, Jason Mars, Robert Hundt

System and methods for sharing memory subsystem resources among datacenter applications Miscellaneous

2016, (US Patent 9,401,869).

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Jason Mars, Robert Hundt, Neil A Vachharajani

Cache contention management on a multicore processor based on the degree of contention exceeding a threshold Miscellaneous

2016, (US Patent 9,268,542).

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2015

M Khan, M A Laurenzanoy, J Marsy, E Hagersten, D Black-Schaffer

AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance Inproceedings

2015 International Conference on Parallel Architecture and Compilation (PACT), pp. 367-378, 2015, ISSN: 1089-795X.

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V Petrucci, M A Laurenzano, J Doherty, Y Zhang, D Mossé, J Mars, L Tang

Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers Inproceedings

2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), pp. 246-258, 2015, ISSN: 1530-0897.

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C H Hsu, Y Zhang, M A Laurenzano, D Meisner, T Wenisch, J Mars, L Tang, R G Dreslinski

Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting Inproceedings

2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), pp. 271-282, 2015, ISSN: 1530-0897.

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Johann Hauswald, Yiping Kang, Michael A Laurenzano, Quan Chen, Cheng Li, Trevor Mudge, Ronald G Dreslinski, Jason Mars, Lingjia Tang

DjiNN and Tonic: DNN As a Service and Its Implications for Future Warehouse Scale Computers Inproceedings

Proceedings of the 42Nd Annual International Symposium on Computer Architecture, pp. 27–40, ACM, Portland, Oregon, 2015, ISBN: 978-1-4503-3402-0.

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Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean Tullsen, Lingjia Tang, Jason Mars

Thermal Time Shifting: Leveraging Phase Change Materials to Reduce Cooling Costs in Warehouse-scale Computers Inproceedings

Proceedings of the 42Nd Annual International Symposium on Computer Architecture, pp. 439–449, ACM, Portland, Oregon, 2015, ISBN: 978-1-4503-3402-0.

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Johann Hauswald, Michael A Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars

Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers Inproceedings

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 223–238, ACM, Istanbul, Turkey, 2015, ISBN: 978-1-4503-2835-7.

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2014

Alex D Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars

Enabling Fair Pricing on High Performance Computer Systems with Node Sharing Journal Article

Sci. Program., 22 (2), pp. 59–74, 2014, ISSN: 1058-9244.

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Michael A Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars

Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers Inproceedings

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 558–570, IEEE Computer Society, Cambridge, United Kingdom, 2014, ISBN: 978-1-4799-6998-2.

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Yunqi Zhang, Michael A Laurenzano, Jason Mars, Lingjia Tang

SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers Inproceedings

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 406–418, IEEE Computer Society, Cambridge, United Kingdom, 2014, ISBN: 978-1-4799-6998-2.

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Yan Zhai, Xiao Zhang, Stephane Eranian, Lingjia Tang, Jason Mars

HaPPy: Hyperthread-aware Power Profiling Dynamically Inproceedings

Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference, pp. 211–218, USENIX Association, Philadelphia, PA, 2014, ISBN: 978-1-931971-10-2.

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2013

A D Breslow, A Tiwari, M Schulz, L Carrington, L Tang, J Mars

Enabling fair pricing on HPC systems with node sharing Inproceedings

2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 1-12, 2013, ISSN: 2167-4329.

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Alex D Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars

Enabling Fair Pricing on HPC Systems with Node Sharing Inproceedings

Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp. 37:1–37:12, ACM, Denver, Colorado, 2013, ISBN: 978-1-4503-2378-9.

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77 entries « 1 of 2 »