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检索条件"任意字段=8th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2008"

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ServerlessLLM: Low-Latency Serverless Inference for Large Language Models 18

ServerlessLLM: Low-Latency Serverless Inference for Large La...

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18th usenix symposium on operating systems design and implementation (osdi)

作者： Fu, Yao Xue, Leyang Huang, Yeqi Brabete, Andrei-Octavian Ustiugov, Dmitrii Patel, Yuvraj Mai, Luo Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland NTU Singapore Singapore Singapore

ISBN: (纸本)9781939133403

this paper presents ServerlessLLM, a distributed system designed to support low-latency serverless inference for Large Language Models (LLMs). By harnessing the substantial near-GPU storage and memory capacities of inference servers, ServerlessLLM achieves effective local checkpoint storage, minimizing the need for remote checkpoint downloads and ensuring efficient checkpoint loading. the design of ServerlessLLM features three core contributions: (i) fast multi-tier checkpoint loading, featuring a new loading-optimized checkpoint format and a multi-tier loading system, fully utilizing the bandwidth of complex storage hierarchies on GPU servers;(ii) efficient live migration of LLM inference, which enables newly initiated inferences to capitalize on local checkpoint storage while ensuring minimal user interruption;and (iii) startup-time-optimized model scheduling, which assesses the locality statuses of checkpoints on each server and schedules the model onto servers that minimize the time to start the inference. Comprehensive evaluations, including microbenchmarks and real-world scenarios, demonstrate that ServerlessLLM dramatically outperforms state-of-the-art serverless systems, reducing latency by 10 - 200X across various LLM inference workloads.

关键词： Graphics processing unit

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Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Octo: INT8 Training with Loss-aware Compensation and Backwar...

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usenix Annual Technical Conference / 15th usenix symposium on operating systems design and implementation (osdi)

作者： Zhou, Qihua Guo, Song Qu, Zhihao Guo, Jingcai Xu, Zhenda Zhang, Jiewei Guo, Tao Luo, Boyuan Zhou, Jingren Hong Kong Polytech Univ Hong Kong Peoples R China Hohai Univ Nanjing Peoples R China Alibaba Grp Hangzhou Peoples R China

ISBN: (纸本)9781939133236

On-device learning is an emerging technique to pave the last mile of enabling edge intelligence, which eliminates the limitations of conventional in-cloud computing where dozens of computational capacities and memories are needed. A high-performance on-device learning system requires breaking the constraints of limited resources and alleviating computational overhead. In this paper, we show that employing the 8-bit fixed-point (INT8) quantization in both forward and backward passes over a deep model is a promising way to enable tiny on-device learning in practice. the key to an efficient quantization-aware training method is to exploit the hardware-level enabled acceleration while preserving the training quality in each layer. However, off-the-shelf quantization methods cannot handle the on-device learning paradigm of fixed-point processing. To overcome these challenges, we propose a novel INT8 training method, which optimizes the computation of forward and backward passes via the delicately designed Loss-aware Compensation (LAC) and Parameterized Range Clipping (PRC), respectively. Specifically, we build a new network component, the compensation layer, to automatically counteract the quantization error of tensor arithmetic. We implement our method in Octo, a lightweight cross-platform system for tiny on-device learning. Evaluation on commercial AI chips shows that Octo holds higher training efficiency over state-of-the-art quantization training methods, while achieving adequate processing speedup and memory reduction over the full-precision training.

关键词： Learning systems

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the turtles project: design and implementation of nested virtualization 9

The turtles project: Design and implementation of nested vir...

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9th usenix symposium on operating systems design and implementation, osdi 2010

作者： Ben-Yehuda, Muli Day, Michael D. Dubitzky, Zvi Factor, Michael Har'El, Nadav Gordon, Abel Liguori, Anthony Wasserman, Orit Yassour, Ben-Ami IBM Research - Haifa Israel IBM Linux Technology Center

ISBN: (纸本)9781931971799

In classical machine virtualization, a hypervisor runs multiple operating systems simultaneously, each on its own virtual machine. In nested virtualization, a hypervisor can run multiple other hypervisors with their associated virtual machines. As operating systems gain hypervisor functionality-Microsoft Windows 7 already runs Windows XP in a virtual machine-nested virtualization will become necessary in hypervisors that wish to host them. We present the design, implementation, analysis, and evaluation of high-performance nested virtualization on Intel x86-based systems. the Turtles project, which is part of the Linux/KVM hypervisor, runs multiple unmodified hypervisors (e.g., KVM and VMware) and operating systems (e.g., Linux and Windows). Despite the lack of architectural support for nested virtualization in the x86 architecture, it can achieve performance that is within 6-8% of single-level (non-nested) virtualization for common workloads, through multi-dimensional paging for MMU virtualization and multi-level device assignment for I/O virtualization.

关键词： Virtualization

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Proceedings of the 8th usenix symposium on operating systems design and implementation, osdi 2008

Proceedings of the 8th USENIX Symposium on Operating Systems...

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8th usenix symposium on operating systems design and implementation, osdi 2008

ISBN: (纸本)9781931971652

the proceedings contain 26 papers. the topics discussed include: DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level language;Everest: scaling down peak loads through I/O Off-loading;improving MapReduce performance in heterogeneous environments;Corey: an operating system for many cores;redline: first class support for interactivity in commodity operating systems;network imprecision: a new consistency metric for scalable monitoring;and lightweight, high-resolution monitoring for troubleshooting production systems.

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design and implementation for signal integrity trouble diagnosing system

Design and implementation for signal integrity trouble diagn...

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8th International symposium on Antennas, Propagation and EM theory, ISAPE 2008

作者： Lu, Fu Zhao-Wen, Yan Lanlan, Zhang EMC Laboratory Beijing University of Aeronautics and Astronautics Beijing 100191 China

ISBN: (纸本)9781424421923

this paper proposes a troubling diagnosing system for analyzing signal integrity and describes a complete architecture for the system with the crucial software for scanning and controlling. the software is developed with the software LabVIEW 8.5 from the National Instruments. the paper also describes the implementation of the data processing and displaying the radiation graph. Moreover, the result is resented from scanning a part of an actual main board from an operating computer with the system in the end. © 2008 IEEE.

关键词： Computer operating systems

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design and implementation for Signal Integrity Trouble Diagnosing System

Design and Implementation for Signal Integrity Trouble Diagn...

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8th International symposium on Antennas, Propagation and EM theory

作者： Fu Lu Yan Zhao-wen Zhang Lanlan Beijing Univ Aeronaut & Astronaut EMC Lab Beijing 100191 Peoples R China

ISBN: (纸本)9781424421923

关键词： Signal design Frequency Probes Electromagnetic radiation Control systems Instruments Electromagnetic interference Hardware Personnel Crosstalk

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Data Center Resilience Evaluation Test-bed: design and implementation

Data Center Resilience Evaluation Test-bed: Design and Imple...

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IEEE International symposium on Signal Processing and Information Technology

作者： Khalil, Yehia Elmaghraby, Adel S. Univ Louisville CECS Dept Louisville KY 40292 USA

ISBN: (纸本)9781424435548

Operational continuity of data centers faces challenges by experienced cyber attackers and occasional natural disasters. Assessment of a data center's resilience for complex and realistic scenarios is very important for various reasons such as: system specification, design and enhancement. Yet data center resilience evaluation is a demanding process because of the complexity of its systems and the multidimensional aspects required for a resilient system. this paper illustrates data center resilience evaluation test-bed and its monitoring system. this test-bed can provide a realistic testing environment and capable to implement multiple operating and attacking scenarios.

关键词： system management data center test-bed system evaluation Resilience

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