Spectral profiling: Observer-effect-free profiling by monitoring EM emanations

Sehatbakhsh, Nader; Nazari, Alireza; Zajić, Alenka; Prvulovic, Milos

doi:10.1109/micro.2016.7783762

Cited by 51 publications

(11 citation statements)

References 32 publications

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“…Recently, Sehatbakhsh et al [29] have been using a CPU's electromagnetic radiation to profile code as well. They have shown a correlation between the amount of time a loop takes (T ) and a frequency "spike" in the EMI (f = 1/T ).…”

Section: On-chip Interferersmentioning

confidence: 99%

Architectural opportunities for novel dynamic EMI shifting (DEMIS)

Gorman

Guthaus

Renau

2017

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture

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Processors emit non-trivial amounts of electromagnetic radiation, creating interference in frequency bands used by wireless communication technologies such as cellular, WiFi and Bluetooth. We introduce the problem of in-band radio frequency noise as a form of electromagnetic interference (EMI) to the computer architecture community as a technical challenge to be addressed. This paper proposes the new idea of Dynamic EMI Shifting (DEMIS) where architectural and/or compiler changes allow the EMI to be shifted at runtime. DEMIS processors dynamically move the interference from bands used during communication to other unused frequencies. Unlike previous works that leverage static techniques, DEMIS dynamically targets specific frequency bands; the type of techniques used here are only possible from an architectural perspective. This paper is also the first to provide insights in the new area of dynamic EMI shifting by evaluating several platforms and showing the EMI is sensitive to many architectural and compilation parameters. Our evaluation over real systems shows a decrease of in-band EMI ranging from 3 to 15 dB with less than a 10% average performance impact. A 15dB EMI reduction for LTE can represent over 3x bandwidth improvement for EMI bound communication. CCS CONCEPTS • Hardware → Noise reduction; Wireless devices; Signal integrity and noise analysis;

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Section: On-chip Interferersmentioning

confidence: 99%

Architectural opportunities for novel dynamic EMI shifting (DEMIS)

Gorman

Guthaus

Renau

2017

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture

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“…ASPLOS'20, March 16-20, 2020, Lausanne, Switzerland in FirePerf use similar concepts to those in IWatcher for targeted observability. Other techniques exploit side channels for out-of-band profiling [45] at the cost of coarser granularity and non-negligible imprecision.…”

Section: Related Workmentioning

confidence: 99%

FirePerf

Karandikar

Amid

et al. 2020

Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Syste

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Achieving high-performance when developing specialized hardware/software systems requires understanding and improving not only core compute kernels, but also intricate and elusive system-level bottlenecks. Profiling these bottlenecks requires both high-fidelity introspection and the ability to run sufficiently many cycles to execute complex software stacks, a challenging combination. In this work, we enable agile full-system performance optimization for hardware/ software systems with FirePerf, a set of novel out-of-band system-level performance profiling capabilities integrated into the open-source FireSim FPGA-accelerated hardware simulation platform. Using out-of-band call stack reconstruction and automatic performance counter insertion, FirePerf enables introspecting into hardware and software at appropriate abstraction levels to rapidly identify opportunities for software optimization and hardware specialization, without disrupting end-to-end system behavior like traditional profiling tools. We demonstrate the capabilities of FirePerf with a case study that optimizes the hardware/software stack of an open-source RISC-V SoC with an Ethernet NIC to achieve 8× end-to-end improvement in achievable bandwidth for networking applications running on Linux. We also deploy a RISC-V Linux kernel optimization discovered with FirePerf on commercial RISC-V silicon, resulting in up to 1.72× improvement in network performance.

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“…In addition, extracting performance metrics of the systems in a way that doesn't effect the execution of the programs might not be trivial. In order to avoid this issue, Nazari et al (2017) and Sehatbakhsh et al (2016) proposed new methods for profiling program execution without instrumenting or otherwise affecting the profiled system.…”

Section: Memorymentioning

confidence: 99%

On-Chip Dynamic Resource Management

Miele

Kanduri²,

Moazzemi³

et al. 2019

FNT in Electronic Design Automation

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The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers. We focus on the dynamic (run-time) management of onchip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each

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Spectral profiling: Observer-effect-free profiling by monitoring EM emanations

Cited by 51 publications

References 32 publications

Architectural opportunities for novel dynamic EMI shifting (DEMIS)

Architectural opportunities for novel dynamic EMI shifting (DEMIS)

FirePerf

On-Chip Dynamic Resource Management

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