1) The document discusses multicore scheduling challenges for automotive electronic control units (ECUs) as the automotive industry moves toward multicore architectures.
2) It presents a model for scheduling numerous tasks or "runnables" across multiple cores of an ECU. The model considers attributes of each runnable like period, worst case execution time, initial offset, and core allocation constraints.
3) The document proposes using load balancing algorithms like Least Loaded and variants to build schedule tables that assign runnables to slots on each core, aiming to balance load over time while avoiding peaks. It has implemented these approaches in a scheduling tool.
Pushing the limits of CAN - Scheduling frames with offsets provides a major p...Nicolas Navet
M. Grenier, L. Havet, N. Navet, "Pushing the limits of CAN - Scheduling frames with offsets provides a major performance boost", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
Sched-freq is the integration of the scheduler with cpufreq to yield scheduler-aware CPU frequency management. The purpose of the project will be briefly explained. The current design will be presented including things like the location of hooks in the scheduler and the implicit policy created by those hooks. Sched-freq will be contrasted with other cpufreq governors such as ondemand and interactive. The latest test results will be presented, along with next steps.
Pushing the limits of CAN - Scheduling frames with offsets provides a major p...Nicolas Navet
M. Grenier, L. Havet, N. Navet, "Pushing the limits of CAN - Scheduling frames with offsets provides a major performance boost", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
Sched-freq is the integration of the scheduler with cpufreq to yield scheduler-aware CPU frequency management. The purpose of the project will be briefly explained. The current design will be presented including things like the location of hooks in the scheduler and the implicit policy created by those hooks. Sched-freq will be contrasted with other cpufreq governors such as ondemand and interactive. The latest test results will be presented, along with next steps.
Slides of a talk given at ERTS2008 in Toulouse. Abstract: with the increasing amount of electronics, making best usage of the bandwidth becomes of primary importance in automotive networks. One
solution that is being investigated by car manufacturers is to schedule the messages with offsets, which leads to a desynchronization of the message streams. As it will be shown, this “traffic shaping” strategy is very beneficial in terms of worst-case response times. In this slides, the problem of choosing the best offsets is addressed in the case of Controller Area Network, which is a de-facto standard in the automotive world. Comprehensive experiments shown give insight into the fundamental reasons why offsets are efficient, and demonstrate that offsets actually provide a major performance boost in terms of response times. These experimental results suggest that sound offset strategies may extend the lifespan of CAN further, and may defer the introduction of FlexRay and additional CAN networks.
As eBay is moving to OpenStack, we need to find capacity conversion ratio between ESX and KVM. Moreover, we hope to tunning KVM performance that make KVM to be same as or better than ESX
Do We Really Need TSN in Next-Generation Helicopters? Insights From a Case-StudyRealTime-at-Work (RTaW)
As Ethernet rapidly replaces legacy networks as the core high-speed network in helicopter’s avionics and mission systems, we ask in this paper the question of the technical benefits of migrating to Ethernet Time-Sensitive-Networking (TSN). Indeed, TSN has become a rich toolbox of mechanisms and protocols to address Quality-of-Service (QoS) requirements pertaining to timing and reliability. TSN is quickly becoming the prominent technology for wired high-speed communications in a variety of application domains like automotive, industry 4.0 and telecom. In this context, this work explores the use of TSN timing QoS mechanisms for helicopter’s avionics and mission systems on a case-study representative of the communication requirements of next-generation systems. This study aims to provide quantified insights into what can be expected from TSN in terms of timing, memory usage and extensibility. Paper available at http://hdl.handle.net/10993/48093
In this deck from the HPC User Forum in Santa Fe, Sibendu Som from Argonne presents: HPC Accelerating Combustion Engine Design.
Sibendu Som is a mechanical engineer and principal investigator for developing predictive spray and combustion modeling capabilities for compression ignition engines. With the aid of high-performance computing, Sibendu focuses on developing robust models which can improve the performance and emission characteristics of a variety of bio-derived fuels. Predictive simulation capability can provide significant insights on how to improve the efficiency and emissions for different bio-derived fuels of interest.
Watch the video: http://wp.me/p3RLHQ-gHO
Learn more: http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from ATPESC 2019, Jack Dongarra from UT Knoxville presents: Adaptive Linear Solvers and Eigensolvers.
"Success in large-scale scientific computations often depends on algorithm design. Even the fastest machine may prove to be inadequate if insufficient attention is paid to the way in which the computation is organized. We have used several problems from computational physics to illustrate the importance of good algorithms, and we offer some very general principles for designing algorithms. Two subthemes are, first, the strong connection between the algorithm and the architecture of the target machine; and second, the importance of non-numerical methods in scientific computations."
Watch the video: https://wp.me/p3RLHQ-lq3
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Configuring the communication on FlexRay: the case of the static segmentNicolas Navet
N. Navet, M. Grenier, L. Havet, "Configuring the communication on FlexRay: the case of the static segment", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
Battery Aware Dynamic Scheduling for Periodic Task GraphsNicolas Navet
V. Rao, N. Navet, G. Singhal, A. Kumar, G.S. Visweswaran, "Battery Aware Dynamic Scheduling for Periodic Task Graphs", Proc. of the 14th International Workshop on Parallel and Distributed Real-Time Systems (WPDRTS 2006), Island of Rhodes, Greece, April 25-26, 2006.
In-Vehicle Networking : a Survey and Look ForwardNicolas Navet
N. Navet, "In-Vehicle Networking : a Survey and Look Forward", Workshop on Specialized Networks, in conjunction with ETFA 2009, Mallorca, Spain, September 26, 2009.
Slides of a talk given at ERTS2008 in Toulouse. Abstract: with the increasing amount of electronics, making best usage of the bandwidth becomes of primary importance in automotive networks. One
solution that is being investigated by car manufacturers is to schedule the messages with offsets, which leads to a desynchronization of the message streams. As it will be shown, this “traffic shaping” strategy is very beneficial in terms of worst-case response times. In this slides, the problem of choosing the best offsets is addressed in the case of Controller Area Network, which is a de-facto standard in the automotive world. Comprehensive experiments shown give insight into the fundamental reasons why offsets are efficient, and demonstrate that offsets actually provide a major performance boost in terms of response times. These experimental results suggest that sound offset strategies may extend the lifespan of CAN further, and may defer the introduction of FlexRay and additional CAN networks.
As eBay is moving to OpenStack, we need to find capacity conversion ratio between ESX and KVM. Moreover, we hope to tunning KVM performance that make KVM to be same as or better than ESX
Do We Really Need TSN in Next-Generation Helicopters? Insights From a Case-StudyRealTime-at-Work (RTaW)
As Ethernet rapidly replaces legacy networks as the core high-speed network in helicopter’s avionics and mission systems, we ask in this paper the question of the technical benefits of migrating to Ethernet Time-Sensitive-Networking (TSN). Indeed, TSN has become a rich toolbox of mechanisms and protocols to address Quality-of-Service (QoS) requirements pertaining to timing and reliability. TSN is quickly becoming the prominent technology for wired high-speed communications in a variety of application domains like automotive, industry 4.0 and telecom. In this context, this work explores the use of TSN timing QoS mechanisms for helicopter’s avionics and mission systems on a case-study representative of the communication requirements of next-generation systems. This study aims to provide quantified insights into what can be expected from TSN in terms of timing, memory usage and extensibility. Paper available at http://hdl.handle.net/10993/48093
In this deck from the HPC User Forum in Santa Fe, Sibendu Som from Argonne presents: HPC Accelerating Combustion Engine Design.
Sibendu Som is a mechanical engineer and principal investigator for developing predictive spray and combustion modeling capabilities for compression ignition engines. With the aid of high-performance computing, Sibendu focuses on developing robust models which can improve the performance and emission characteristics of a variety of bio-derived fuels. Predictive simulation capability can provide significant insights on how to improve the efficiency and emissions for different bio-derived fuels of interest.
Watch the video: http://wp.me/p3RLHQ-gHO
Learn more: http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from ATPESC 2019, Jack Dongarra from UT Knoxville presents: Adaptive Linear Solvers and Eigensolvers.
"Success in large-scale scientific computations often depends on algorithm design. Even the fastest machine may prove to be inadequate if insufficient attention is paid to the way in which the computation is organized. We have used several problems from computational physics to illustrate the importance of good algorithms, and we offer some very general principles for designing algorithms. Two subthemes are, first, the strong connection between the algorithm and the architecture of the target machine; and second, the importance of non-numerical methods in scientific computations."
Watch the video: https://wp.me/p3RLHQ-lq3
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Configuring the communication on FlexRay: the case of the static segmentNicolas Navet
N. Navet, M. Grenier, L. Havet, "Configuring the communication on FlexRay: the case of the static segment", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
Battery Aware Dynamic Scheduling for Periodic Task GraphsNicolas Navet
V. Rao, N. Navet, G. Singhal, A. Kumar, G.S. Visweswaran, "Battery Aware Dynamic Scheduling for Periodic Task Graphs", Proc. of the 14th International Workshop on Parallel and Distributed Real-Time Systems (WPDRTS 2006), Island of Rhodes, Greece, April 25-26, 2006.
In-Vehicle Networking : a Survey and Look ForwardNicolas Navet
N. Navet, "In-Vehicle Networking : a Survey and Look Forward", Workshop on Specialized Networks, in conjunction with ETFA 2009, Mallorca, Spain, September 26, 2009.
Automotive communication systems: from dependability to securityNicolas Navet
"Automotive communication systems: from dependability to security", talk at the 1st Seminar on Vehicular Communications and Applications (VCA 2011), Luxembourg, May 2011.
Aperiodic Traffic in Response Time Analyses with Adjustable Safety LevelNicolas Navet
D. Khan, N. Navet, B. Bavoux, J. Migge, "Aperiodic Traffic in Response Time Analyses with Adjustable Safety Level", 14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2009), Mallorca, Spain, September 2009
Optimizing the Robustness of X-by-Wire using Word CombinatoricsNicolas Navet
Optimizing the Robustness of X-by-Wire using Word Combinatorics", Ecole Polytechnique Fédérale de Lausanne (EPFL), Network Calculus Group Seminar, 3rd March 2004,
Virtualization in Automotive Embedded Systems : an OutlookNicolas Navet
N. Navet, B. Delord, M. Baumeister, "Virtualization in Automotive Embedded Systems : an Outlook", talk at RTS Embedded System 2010, Paris, France, March, 2010.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3
Ertss2010 multicore scheduling
1. Multicore scheduling in automotive ECUs
Aurélien Monot - PSA Peugeot Citroën, LORIA
Nicolas Navet - INRIA, RealTime-at-Work
Françoise Simonot - LORIA
Bernard Bavoux - PSA Peugeot Citroën
Talk at ERTS2 2010
Toulouse, May 21st 2010
2. 2
Outlook
Context:
New tools and methodologies are needed as multicore ECUs
are being introduced in the automotive EE architecture.
Problem:
How to address the scheduling of numerous runnables on a
multicore ECUs in the context of the automotive domain?
Method:
Deployment of load balancing algorithms in ECU configuration
tools.
3. 3
The case of a generic car manufacturer
Typical number of ECUs in a car in 2000 : 20
Typical number of ECUs in a car in 2010 : over 40
The number of ECUs has more than doubled in 10 years
Other examples
Between 60 and 80 ECUs in the Audi A8
Over 100 ECUs in some Lexus !
4. 4
Moving towards multicore architecture
Decreasing the complexity of in-vehicle architecture:
reduces EE design and verification efforts
decreases number of network interfaces
decreases traffic on CAN network
reduces costs
ECU 1 ECU 2
Tas Tas Tas
k k k
Tas Tas Tas
k k k
5. 5
Moving towards multicore architecture
Other use cases for the automotive domain
Dealing with resource demanding applications
‣ engine control, image processing...
Improving the safety
‣ segragation of multi-source software, ISO26262...
Dedicated use of core
‣ monitoring, event-triggered tasks
General benefits of multi-core
reduced power consumption
reduced heat
reduced EMC
6. 6
AutoSAR requirements
• Static partitioning
• Static cyclic scheduling using schedule tables
• BSW are all allocated on the same core
7. 7
Problem
Goal: schedule numerous runnables on a multicore ECU
Two sub-problems
Partitioning
‣ 600 runnables on 2 cores : 2600 possible allocations
Build schedule table
‣ 300 runnables in 200 slots (expiry points) : 200300 schedules
Sub-objectives and criteria
Avoid load peaks
‣ Max
Balance load over time
‣ Standard Deviation
8. 8
Model
Runnables P1=10 R
P2=10
R1 C1=2 C2=1
2
•Period O1=0 O2=5
•WCET
•Initial Offset P3=20 P4=20
R3 C3=3 R4 C4=2
•Core allocation constraint
O3=5 O4=15
•Colocation constraint
Sequencer task
R R R R
R1 R3 R1 R4 R1 R3 R1 R4
2 2 2 2
0 5 10 15 20 25 30 35 40
Ttic Slots Tcycle
9. 9
Solution
Partitioning is dealt with as a bin packing problem
Worst fit decreasing algorithm with fixed number of bins
Load Balancing is done with the Least Loaded algorithm (LL)
inspired from CAN domain [Grenier and Navet ERTSS2008]
Extended to handle non harmonic runnable sets (G-LL)
Improved so as to reduce further load peaks (G-LLσ)
Implemented in a tool
Freely available soon at http://www.realtimeatwork.com
12. 12
Non harmonic task sets
Cmax
Schedulability bound in the harmonic case 1−
Ttic
Generated 95% 97% 95% 97%
Max WCET (μs) 150 300 900 CPU load
Schedulability 94% 82%
Schedulability 97% 94% 82% bound in the Max WCET = Max WCET = 900μs
bound in the harmonic case 300μs
harmonic case
Success % of 64% 18% 12% 1%
Success % of LL 96% 96% 92% LL
Success % of 94% 94% 30% 5%
Success % of G-LL 100% 100% 100% G-LL
Success % of 100% 100% 97% 76%
G-LL1σ
Statistics collected over 1000 generated runnable sets
13. 13
Multiple synchronized sequencer tasks per core
Incremental scheduling of three synchronized sequencer tasks with respective
load of 45%, 35% and 15% resulting in 95% of the core capacity.
Tcycle=1000ms and Ttic=5ms
14. 14
Multiple non synchronized sequencer
tasks per core
Case arises for sequencer tasks using different tic counters
Engine control applications (standard time vs RPM)
Any offset between the sequencer tasks and all clock rates are
possible during runtime
each sequencer task needs to be balanced
independantly
Verification is possible considering maximum clock rates
Multi-frame scheduling results can be used
15. 15
Conclusion
Adoption of multicore ECU raises new challenges
Evolution of software architecture design
Scheduling of software components
We propose runnable scheduling heuristics for ECUs
Fast and performant
Easily adaptable for more advanced applications
Compatible with AutoSAR R4.0 and its multicore
extensions
Future work
Precedence constraints
Lockstep synchronization
Distributed timing chains