Invasive Computing: An Overview

Teich, Jürgen; Henkel, Jörg; Herkersdorf, Andreas; Schmitt‐Landsiedel, D.; Schröder-Preikschat, Wolfgang; Snelting, Gregor

doi:10.1007/978-1-4419-6460-1_11

Cited by 103 publications

(37 citation statements)

References 18 publications

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“…Our implemented actor library, called actorX10 [20], enables to implement formal actor models as exemplified in Script 1. First, the actors belonging to an application are declared (line 3-6), and then the actor graph is built (line 18) by adding all actors (lines 21-23) and connecting their inputs and outputs to realize the channels (lines [25][26][27][28].…”

Section: Actor Modelmentioning

confidence: 99%

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Invasive computing for timing-predictable stream processing on MPSoCs

Wildermann

Bäder

Bauer

et al. 2016

It - Information Technology

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Multi-Processor Systems-on-a-Chip (MPSoCs) provide sufficient computing power for many applications in scientific as well as embedded applications. Unfortunately, when real-time requirements need to be guaranteed, applications suffer from the interference with other applications, uncertainty of dynamic workload and state of the hardware. Composable application/architecture design and timing analysis is therefore a must for guaranteeing real-time applications to satisfy their timing requirements independent from dynamic workload. Here, Invasive Computing is used as the key enabler for compositional timing analysis on MPSoCs, as it provides the required isolation of resources allocated to each application. On the basis of this paradigm, this work proposes a hybrid application mapping methodology that combines designtime analysis of application mappings with run-time management. Design space exploration delivers several resource reservation configurations with verified real-time guarantees for individual applications. These timing properties can then be guaranteed at run-time, as long as dynamic resource allocations comply with the offline analyzed resource configurations. This article describes our methodology and presents programming, optimization, analysis, and hardware techniques for enforcing timing predictability. A case study illustrates the timing-predictable management of real-time computer vision applications in dynamic robot system scenarios.

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Section: Actor Modelmentioning

confidence: 99%

“…This article proposes Invasive Computing [25] as the key enabler for compositional timing analysis and execution of applications on MPSoCs with changing states of hardware resources. Invasive Computing enables to exclusively reserve hardware resources for applications at run time.…”

Section: Introductionmentioning

confidence: 99%

Invasive computing for timing-predictable stream processing on MPSoCs

Wildermann

Bäder

Bauer

et al. 2016

It - Information Technology

Self Cite

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“…The invasive computing paradigm was originally introduced to be applied on embedded systems (see [42] for an overview) targeting to optimize dynamically scheduled resources by developing InvasIC-enabled hardware and software. The paradigm is currently subject of research in the InvasIC TCRC 89 1 with its main focus on embedded systems.…”

Section: Existing Work and Invasive Computingmentioning

confidence: 99%

Invasive Compute Balancing for Applications with Shared and Hybrid Parallelization

Schreiber

Riesinger

Neckel

et al. 2014

Int J Parallel Prog

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Achieving high scalability with dynamically adaptive algorithms in high-performance computing (HPC) is a non-trivial task. The invasive paradigm using compute migration represents an efficient alternative to classical data migration approaches for such algorithms in HPC. We present a coredistribution scheduler which realizes the migration of computational power by distributing the cores depending on the requirements specified by one or more parallel program instances. We validate our approach with different benchmark suites for simulations with artificial workload as well as applications based on dynamically adaptive shallow water simulations, and investigate concurrently executed adaptivity parameter studies on realistic Tsunami simulations. The invasive approach results in significantly faster overall execution times and higher hardware utilization than alternative approaches. A dynamic resource management is therefore mandatory for a more efficient execution of scenarios similar to our simulations, e.g. several Tsunami simulations in urgent computing, to overcome strong scalability challenges in the area of HPC. The optimizations obtained by invasive migration of cores can be generalized to similar classes of algorithms with dynamic resource requirements.

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“…number of processors to execute on) based on the current state -including physical hardware properties -of the hardware platform (Teich et al, 2011).…”

Section: Motivationmentioning

confidence: 99%

Modeling of temperature scenarios in a multicore processor system

Glocker¹,

Schmitt‐Landsiedel²

2013

Adv. Radio Sci.

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Abstract. In modern CMOS integrated Systems-on-Chip global temperature variations arise as well as local fluctuations in regions of high activity, resulting in the arise of local hot spots. This in turn can greatly affect reliability and lifetime of a chip. Economically affordable processor packaging cannot be provided for the worst case hot spot scenario. In a multicore system a reciprocal influence between the temperatures of neighbouring cores occur leading to increasing core temperature compared to a single core. This results in the need to monitor and regulate the operating temperature during runtime in order to keep it at tolerable values. This can be done in an easy way in an invasive architecture. In this paper the temperature distributions of cores in a multicore system are simulated for various scenarios. Different task allocation techniques and application characteristics as well as different physical conditions such as package types, material parameters and cooling all result in different system power scenarios. The impact of different scenarios which affect the system temperature scenario is investigated. The results are analysed and compared to determine the worst case scenario. With regard to simulation results and practicability the best temperature levelling measures are chosen.

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Invasive Computing: An Overview

Cited by 103 publications

References 18 publications

Invasive computing for timing-predictable stream processing on MPSoCs

Invasive computing for timing-predictable stream processing on MPSoCs

Invasive Compute Balancing for Applications with Shared and Hybrid Parallelization

Modeling of temperature scenarios in a multicore processor system

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