Invasive manycore architectures

Henkel, Jörg; Herkersdorf, Andreas; Bauer, Lars; Wild, Thomas; Hübner, Michael; Pujari, Ravi Kumar; Grudnitsky, Artjom; Heisswolf, Jan; Zaib, Aurang; Vogel, Benjamin; Lari, Vahid; Kobbe, Sebastian

doi:10.1109/aspdac.2012.6164944

Cited by 60 publications

(17 citation statements)

References 10 publications

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“…Such sensor networks have a fundamentally different architecture and thus different communication requirements as compared to a generalpurpose tiled many-core NoC architecture, addressed by our approach. Invasive computing [22] proposes a novel computing paradigm, which supports resource aware programming from application [21] as well as architecture perspective [14]. Along with these ideas this work focuses on communication resources in the context of resource aware programming and also addresses its realization for a NoC-based architecture.…”

Section: Related Workmentioning

confidence: 99%

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Heisswolf

Zaib

Zwinkau

et al. 2014

Proceedings of the 51st Annual Design Automation Conference

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Networks on Chip (NoC) come along with increased complexity from the implementation and management perspective. This leads to higher energy consumption and programming complexity of NoC architectures. This work introduces communication aware programming to address communication resource management and efficient programming of NoC architectures. A programming interface is introduced to express communication requirements at the language level. These requirements are evaluated by an operating system component, which configures the communication hardware accordingly. The proposed concept enables an intuitive use of NoC features like end-to-end connections and Direct Memory Access (DMA). The presented results show that communication aware programming can improve performance and energy consumption.

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Section: Related Workmentioning

confidence: 99%

Cap

Heisswolf

Zaib

Zwinkau

et al. 2014

Proceedings of the 51st Annual Design Automation Conference

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“…Thus, scalability becomes one of the most important requirements for resource management for future computing systems [43,44]. Along this line, decentralized models are generally the approaches that lead to maximum scalability [45], since centralized models commonly suffer from several inherent drawbacks (such as single point of failure and communication bottlenecks). On the other hand, implementing purely decentralized resource management models might hugely increase the level of system complexity (and in some cases, it may not be feasible).…”

Section: Main Requirementsmentioning

confidence: 99%

ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems

Zarrin

Aguiar

Barraca

2016

Microprocessors and Microsystems

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The next generation of many-core enabled large-scale computing systems relies on thousands of billions of heterogeneous processing cores connected to form a single computing unit. In such large-scale computing environments, resource management is one of the most challenging, and complex issues for efficient resource sharing and utilization, particularly as we move toward Future ManyCore Systems (FMCS). This work proposes a novel resource management scheme for future peta-scale many-core-enabled computing systems, based on hybrid adaptive resource discovery, called ElCore. The proposed architecture contains a set of modules which will dynamically be instantiated on the nodes in the distributed system on demand. Our approach provides flexibility to allocate the required set of resources for various types of processes/applications. It can also be considered as a generic solution (with respect to the general requirements of large scale computing environments) which brings a set of interesting features (such as auto-scaling, multitenancy, multi-dimensional mapping, etc,.) to facilitate its easy adaptation to any distributed technology (such as SOA, Grid and HPC many-core). The achieved evaluation results assured the significant scalability and the high-quality resource mapping of the proposed resource discovery and management over highly heterogeneous, hierarchical and dynamic computing environments with respect to several scalability and efficiency aspects while supporting flexible and complex queries with guaranteed discovery results accuracy. The simulation results prove that, using our approach, the mapping between processes and resources can be done with high level of accuracy which potentially leads to a significant enhancement in the overall system performance.

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“…• Invasive computing paradigm, in many-core onchip systems, to take advantage of the abundant cores, multiple applications will be running on the chip concurrently; To dynamically arrange the computing resources, invasive computing is proposed [10], in which different applications compete for idle resources (invade), also when the resource is not needed by the owned application, this application releases this captured resources (retreat) so that other applications can take them into use. In this kind of programming paradigm, the original regular network is partitioned into irregular subnetwork dynamically.…”

Section: Introductionmentioning

confidence: 99%

On multicast for dynamic and irregular on-chip networks using dynamic programming method

Zong

Wang²,

Mak

2013

Proceedings of the Sixth International Workshop on Network on Chip Architectures

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Mutlicast is an intrinsic communication pattern in emerging applications including the Internet service, bio-inspired computing, online data analysis, etc. Providing hardware multicast largely boosts system performance and reduce power consumption for these applications running on many-core systems. However, many-core systems suffer from dynamically changing topologies, which can be caused by traffic isolation, power management and faults. Links and routers may be removed from a subnetwork or added to a subnetwork, this imposes the routers to alter the routing paths accordingly to make the routing energy efficient. Furthermore an energy efficient multicast scheme that fits to any topology is required in this scenario. Most existing fault tolerant routings cannot detect and found energy efficient communication paths effectively for both unicast and multicast. In this work, a lightweight network couples with on-chip routers is used to propagates topological information. The shortest path between any node pair is also computed in this network using dynamic programming method. Unicast packets are routed along a shortest path to its destination, and multicast packet copies at each router is minimized based a rule called minimal replication to reduce multicast link occupation and energy consumption. Simulation results show that the proposed NoC routes 96% packets to their destinations if there exists a path, and demonstrate 40% lower latency and 30% power consumption compared with Stochastic communication. The extra hardware cost to build optimal multicast path is estimated to occupy less than 5% of the total area of a router.

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Invasive manycore architectures

Cited by 60 publications

References 10 publications

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ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems

On multicast for dynamic and irregular on-chip networks using dynamic programming method

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