Accurately Measuring Contention in Mesh NoCs in Time-Sensitive Embedded Systems

Author:

Cardona Jordi1ORCID,Hernández Carles2ORCID,Abella Jaume3ORCID,Mezzetti Enrico3ORCID,Cazorla Francisco J.3ORCID

Affiliation:

1. Universitat Politècnica de Catalunya and Barcelona Supercomputing Center, Barcelona, Spain

2. Universitat Politècnica de València and Barcelona Supercomputing Center, Valencia, Spain

3. Barcelona Supercomputing Center, Barcelona, Spain

Abstract

The computing capacity demanded by embedded systems is on the rise as software implements more functionalities, ranging from best-effort entertainment functions to performance-guaranteed safety-related functions. Heterogeneous manycore processors, using wormhole mesh (wmesh) Network-on-Chips (NoCs) as the main communication means, and contention block among applications, are increasingly considered to deliver the required computing performance. Most research efforts on software timing analysis have focused on deriving bounds (estimates) to the contention that tasks can suffer when accessing wmesh NoCs. However, less effort has been devoted to an equally important problem, namely, accurately measuring the actual contention tasks generate each other on the wmesh which is instrumental during system validation to diagnose any software timing misbehavior and determine which tasks are particularly affected by contention on specific wmesh routers. In this article, we work on the foundations of contention measuring in wmesh NoCs and propose and explain the rationale of a golden metric , called task PairWise Contention (PWC). PWC allows ascribing the actual share of the contention a given task suffers in the wmesh to each of its co-runner tasks at packet level. We also introduce and formalize a Golden Reference Value (GRV) for PWC that specifically defines a criterion to fairly break down the contention suffered by a task among its co-runner tasks in the wmesh. Our evaluation shows that GRV effectively captures how contention occurs by identifying the actual core (task) causing contention and whether contention is caused by local or remote interference in the wmesh.

Funder

Spanish Ministry of Science and Innovation

European Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference67 articles.

1. NaNoC. 2010-2012. NaNoC Project . Retrieved from https://sites.google.com/site/nanocproject/. Accessed February 12 2023.

2. Apollo. 2018. Apollo an open autonomous driving platform. Retrieved from https://developer.apollo.auto/index.html. Accessed February 12 2023.

3. NVIDIA. 2018. NVIDIA drive platforms. Retrieved from https://www.nvidia.com/en-us/self-driving-cars/. Accessed February 12 2023.

4. Kalray. 2022. Kalray MPPA®manycore. a massively parallel processor array architecture. Retrieved from https://www.kalrayinc.com/products/mppa-technology. Accessed February 12 2023.

5. Xilinx. 2022. System-level benefits of the versal platform. Retrieved from https://www.xilinx.com/content/dam/xilinx/support/documentation/white_papers/wp539-versal-system-level-benefits.pdf. Accessed February 12 2023.

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