Brain Modelling As a Service: the Virtual Brain on EBRAINS
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Reconstruction and Simulation of the Cerebellar Microcircuit: a Scaffold Strategy to Embed Different Levels of Neuronal Details
Reconstruction and simulation of the cerebellar microcircuit: a scaffold strategy to embed different levels of neuronal details Claudia Casellato, Elisa Marenzi, Stefano Casali, Chaitanya Medini, Alice Geminiani, Alessandra Pedrocchi, Egidio D’Angelo Department of Brain and Behavioral Sciences, University of Pavia, Italy Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy Computational models allow propagating microscopic phenomena into large‐scale networks and inferencing causal relationships across scales. Here we reconstruct the cerebellar circuit by bottom‐up modeling, reproducing the peculiar properties of this structure, which shows a quasi‐crystalline geometrical organization well defined by convergence/divergence ratios of neuronal connections and by the anisotropic 3D orientation of dendritic and axonal processes [1]. Therefore, a cerebellum scaffold model has been developed and tested. It maintains scalability and can be flexibly handled to incorporate neuronal properties on multiple scales of complexity. The cerebellar scaffold includes the canonical neuron types: Granular cell, Golgi cell, Purkinje cell, Stellate and Basket cells, Deep Cerebellar Nuclei cell. Placement was based on density and encumbrance values, connectivity on specific geometry of dendritic and axonal fields, and on distance‐based probability. In the first release, spiking point‐neuron models based on Integrate&Fire dynamics with exponential synapses were used. The network was run in the neural simulator pyNEST. Complex spatiotemporal patterns of activity, similar to those observed in vivo, emerged [2]. For a second release of the microcircuit model, an extension of the generalized Leaky Integrate&Fire model has been developed (E‐GLIF), optimized for each cerebellar neuron type and inserted into the built scaffold [3]. -
Open Virtualization Infrastructure for Large Telco: How Turkcell Adopted Ovirt for Its Test and Development Environments
Open Virtualization Infrastructure for large Telco: How Turkcell adopted oVirt for its test and development environments DEVRIM YILMAZ SAYGIN BAKTIR Senior Expert Cloud Engineer Cloud Systems Administrator 09/2020 This presentation is licensed under a Creative Commons Attribution 4.0 International License About Turkcell ● Turkcell is a digital operator headquartered in Turkey ● Turkcell Group companies operate in 5 countries – Turkey, Ukraine, Belarus, Northern Cyprus, Germany ● Turkcell is the only NYSE-listed company in Turkey. ● www.turkcell.com.tr 3 Business Objectives ● Alternative solutions compatible with Turkcell operational and security standards ● Dissemination of open source infrastructure technologies within the company ● Competitive infrastructure with cost advantage 3 The journey of oVirt 4 The Journey of oVirt 3. Step three 1. Research & 2. Go-Live 3. Go-Live 4. Private Cloud 5. Go-Live Development Phase-1 Phase-2 Automation RHV 5 Research & Development ● Motivation Factors ○ Cost 1. Research & ○ Participation Development ○ Regulation ○ Independence ○ Expertise ● Risk Factors ○ Security ○ Quality ○ Compliance ○ Support ○ Worst Practices 6 Research & Development ● Why oVirt? ○ Open Source licensing 1. Research & ○ Community contribution Development ○ The same roadmap with commercial product ○ Support via subscription if required ○ Adequate features for enterprise management ○ Rest API support 6 Research & Development ● Difficulties for new infra solution ○ Integration with current infrastructure 1. Research & - Centralized Management Development - Certified/Licensed Solutions - Integration Cost ○ Incident & Problem Management - 3rd Party Support - Support with SLA ○ Acquired Habits - Customer Expectations - Quality of IT Infrastructure Services 6 Research & Development ● What we achieved ○ Building of PoC environment 1. Research & ○ V2V Migration Development ○ Upgrade Tests starting with v.4.3.2 ○ Functional Tests ○ Backup Alternative Solutions 6 Go-Live Phase-1 ● Phase-1 contains : ○ Building of new oVirt platform with unused h/w 2. -
Red Hat Enterprise Linux 7 Libreswan Cryptographic Module Version 7.0 and Version Rhel7.20190509 FIPS 140-2 Non-Proprietary Security Policy
Red Hat Enterprise Linux 7 Libreswan Cryptographic Module version 7.0 and version rhel7.20190509 FIPS 140-2 Non-Proprietary Security Policy Version 1.3 Last update: 2021-05-03 Prepared by: atsec information security corporation 9130 Jollyville Road, Suite 260 Austin, TX 78759 www.atsec.com ©2021 Red Hat®, Inc. / atsec information security corporation Page 1 of 23 This document can be reproduced and distributed only whole and intact, including this copyright notice. Red Hat Enterprise Linux 7 Libreswan Cryptographic Module FIPS 140-2 Non-Proprietary Security Policy Table of contents 1 Introduction ........................................................................................................................... 3 2 Cryptographic Module Specification ...................................................................................... 4 2.1 Module Overview ......................................................................................................... 4 2.2 FIPS 140-2 Validation ................................................................................................... 5 2.3 Modes of Operation ...................................................................................................... 6 3 Cryptographic Module Ports and Interfaces ........................................................................... 7 4 Roles, Services and Authentication ....................................................................................... 8 4.1 Roles ........................................................................................................................... -
Clouder Documentation Release 1.0
Clouder Documentation Release 1.0 Yannick Buron May 15, 2017 Contents 1 Getting Started 3 1.1 Odoo installation.............................................3 1.2 Clouder configuration..........................................4 1.3 Services deployed by the oneclick....................................6 2 Connect to a new node 9 3 Images 13 4 Applications 15 4.1 Application Types............................................ 15 4.2 Application................................................ 16 5 Services 21 6 Domains and Bases 25 6.1 Domains................................................. 25 6.2 Bases................................................... 27 7 Backups and Configuration 31 7.1 Backups................................................. 31 7.2 Configuration............................................... 33 i ii Clouder Documentation, Release 1.0 Contents: Contents 1 Clouder Documentation, Release 1.0 2 Contents CHAPTER 1 Getting Started In this chapter, we’ll see a step by step guide to install a ready-to-use infrastructure. For the example, the base we will create will be another Clouder. Odoo installation This guide will not cover the Odoo installation in itself, we suggest you read the installation documentation on the official website. You can also, and it’s probably the easier way, use an Odoo Docker image like https://hub.docker.com/ _/odoo/ or https://hub.docker.com/r/tecnativa/odoo-base/ Due to the extensive use of ssh, Clouder is only compatible with Linux. Once your Odoo installation is ready, install the paramiko, erppeek and apache-libcloud python libraries (pip install paramiko erppeek apache-libcloud), download the OCA/Connector module on Github and the Clouder modules on Github and add them in your addons directory, then install the clouder module and clouder_template_odoo (this module will install a lot of template dependencies, like postgres, postfix etc...). -
Deploying Netapp HCI for Red Hat Openshift on RHV HCI Netapp September 23, 2021
Deploying NetApp HCI for Red Hat OpenShift on RHV HCI NetApp September 23, 2021 This PDF was generated from https://docs.netapp.com/us-en/hci- solutions/redhat_openshift_deployment_summary.html on September 23, 2021. Always check docs.netapp.com for the latest. Table of Contents Deploying NetApp HCI for Red Hat OpenShift on RHV . 1 Deployment Summary: NetApp HCI for Red Hat OpenShift on RHV . 1 1. Create Storage Network VLAN: NetApp HCI for Red Hat OpenShift on RHV. 1 2. Download OpenShift Installation Files: NetApp HCI for Red Hat OpenShift on RHV . 2 3. Download CA Certificate from RHV: NetApp HCI for Red Hat OpenShift on RHV . 4 4. Register API/Apps in DNS: NetApp HCI for Red Hat OpenShift on RHV . 5 5. Generate and Add SSH Private Key: NetApp HCI for Red Hat OpenShift on RHV. 7 6. Install OpenShift Container Platform: NetApp HCI for Red Hat OpenShift on RHV . 8 7. Access Console/Web Console: NetApp HCI for Red Hat OpenShift on RHV . 10 8. Configure Worker Nodes to Run Storage Services: NetApp HCI for Red Hat OpenShift on RHV. 11 9. Download and Install NetApp Trident: NetApp HCI for Red Hat OpenShift on RHV . 13 Deploying NetApp HCI for Red Hat OpenShift on RHV Deployment Summary: NetApp HCI for Red Hat OpenShift on RHV The detailed steps provided in this section provide a validation for the minimum hardware and software configuration required to deploy and validate the NetApp HCI for Red Hat OpenShift on RHV solution. Deploying Red Hat OpenShift Container Platform through IPI on Red Hat Virtualization consists of the following steps: 1. -
8. IBM Z and Hybrid Cloud
The Centers for Medicare and Medicaid Services The role of the IBM Z® in Hybrid Cloud Architecture Paul Giangarra – IBM Distinguished Engineer December 2020 © IBM Corporation 2020 The Centers for Medicare and Medicaid Services The Role of IBM Z in Hybrid Cloud Architecture White Paper, December 2020 1. Foreword ............................................................................................................................................... 3 2. Executive Summary .............................................................................................................................. 4 3. Introduction ........................................................................................................................................... 7 4. IBM Z and NIST’s Five Essential Elements of Cloud Computing ..................................................... 10 5. IBM Z as a Cloud Computing Platform: Core Elements .................................................................... 12 5.1. The IBM Z for Cloud starts with Hardware .............................................................................. 13 5.2. Cross IBM Z Foundation Enables Enterprise Cloud Computing .............................................. 14 5.3. Capacity Provisioning and Capacity on Demand for Usage Metering and Chargeback (Infrastructure-as-a-Service) ................................................................................................................... 17 5.4. Multi-Tenancy and Security (Infrastructure-as-a-Service) ....................................................... -
The Human Brain Project—Synergy Between Neuroscience, Computing, Informatics, and Brain-Inspired Technologies
COMMUNITY PAGE The Human Brain ProjectÐSynergy between neuroscience, computing, informatics, and brain-inspired technologies 1,2 3 4 5 Katrin AmuntsID *, Alois C. Knoll , Thomas LippertID , Cyriel M. A. PennartzID , 6 7 8 9 10 Philippe RyvlinID , Alain DestexheID , Viktor K. Jirsa , Egidio D'Angelo , Jan G. BjaalieID 1 Institute for Neuroscience and Medicine (INM-1), Forschungszentrum JuÈlich, Germany, 2 C. and O. Vogt Institute for Brain Research, University Hospital DuÈsseldorf, Heinrich Heine University DuÈsseldorf, DuÈsseldorf, Germany, 3 Institut fuÈr Informatik VI, Technische UniversitaÈt MuÈnchen, Garching bei MuÈnchen, a1111111111 Germany, 4 JuÈlich Supercomputing Centre, Institute for Advanced Simulation, Forschungszentrum JuÈlich, a1111111111 Germany, 5 Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, the a1111111111 Netherlands, 6 Department of Clinical Neurosciences, Centre Hospitalo-Universitaire Vaudois (CHUV) and a1111111111 University of Lausanne, Lausanne, Switzerland, 7 Unite de Neurosciences, Information & Complexite a1111111111 (UNIC), Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France, 8 Institut de Neurosciences des Systèmes, Inserm UMR1106, Aix-Marseille UniversiteÂ, Faculte de MeÂdecine, Marseille, France, 9 Department of Brain and Behavioral Science, Unit of Neurophysiology, University of Pavia, Pavia, Italy, 10 Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway * [email protected] OPEN ACCESS Citation: Amunts K, Knoll AC, Lippert T, Pennartz CMA, Ryvlin P, Destexhe A, et al. (2019) The Abstract Human Brain ProjectÐSynergy between neuroscience, computing, informatics, and brain- The Human Brain Project (HBP) is a European flagship project with a 10-year horizon aim- inspired technologies. PLoS Biol 17(7): e3000344. ing to understand the human brain and to translate neuroscience knowledge into medicine https://doi.org/10.1371/journal.pbio.3000344 and technology. -
Paas Solutions Evaluation
PaaS solutions evaluation August 2014 Author: Sofia Danko Supervisors: Giacomo Tenaglia Artur Wiecek CERN openlab Summer Student Report 2014 CERN openlab Summer Student Report 2014 Project Specification OpenShift Origin is an open source software developed mainly by Red Hat to provide a multi- language PaaS. It is meant to allow developers to build and deploy their applications in a uniform way, reducing the configuration and management effort required on the administration side. The aim of the project is to investigate how to deploy OpenShift Origin at CERN, and to which extent it could be integrated with CERN "Middleware on Demand" service. The student will be exposed to modern cloud computing concepts such as PaaS, and will work closely with the IT middleware experts in order to evaluate how to address service needs with a focus on deployment in production. Some of the tools that are going to be heavily used are Puppet and Openstack to integrate with the IT infrastructure. CERN openlab Summer Student Report 2014 Abstract The report is a brief summary of Platform as a Service (PaaS) solutions evaluation including investigation the current situation at CERN and Services on Demand provision, homemade solutions, external market analysis and some information about PaaS deployment process. This first part of the report is devoted to the current status of the process of deployment OpenShift Origin at existing infrastructure at CERN, as well as specification of the common issues and restrictions that were found during this process using different machines for test. Furthermore, the following open source software solutions have been proposed for the investigation of possible PaaS provision at CERN: OpenShift Online; Cloud Foundry; Deis; Paasmaster; Cloudify; Stackato; WSO2 Stratos. -
Red Hat Openshift Container Platform 3.6
RED HAT OPENSHIFT CONTAINER PLATFORM 3.6 DATASHEET KEY BENEFITS OVERVIEW • Deliver your latest innova- Red Hat® OpenShift Container Platform helps organizations develop, deploy, and manage exist- tion to market faster and stay ing and container-based applications seamlessly across physical, virtual, and public cloud infra- ahead of your competition. structures. Built on proven open source technologies, Red Hat OpenShift Container Platform helps application development and IT operations teams modernize applications, deliver new services, and • Accelerate application accelerate development processes. development by giving your developers and system admin- RED HAT OPENSHIFT CONTAINER PLATFORM istrators the tools they need FOR APPLICATION DEVELOPMENT TEAMS to get the job done. OpenShift Container Platform provides developers with an optimal platform for provisioning, build- • Use a secure, enterprise- ing, and deploying applications and their components in a self-service fashion. With automated grade, container-based workflows like our source-to-image (S2I) process, it is easy to get source code from version control platform with no vendor systems into ready-to-run, docker-formatted container images. OpenShift Container Platform inte- lock-in. grates with continuous integration (CI) and continuous delivery (CD) tools, making it an ideal solution • Support DevOps and depart- for any organization. ment-wide collaboration. FOR I.T. OPERATIONS OpenShift Container Platform gives IT operations a secure, enterprise-grade Kubernetes that pro- Red Hat OpenShift Online vides policy-based control and automation for applications. Cluster services, scheduling, and orches- is a public cloud application tration provide load-balancing and auto-scaling capabilities. Security features prevent tenants from platform that lets you quickly compromising other applications or the underlying host. -
NEST Desktop
NEST Conference 2019 A Forum for Users & Developers Conference Program Norwegian University of Life Sciences 24-25 June 2019 NEST Conference 2019 24–25 June 2019, Ås, Norway Monday, 24th June 11:00 Registration and lunch 12:30 Opening (Dean Anne Cathrine Gjærde, Hans Ekkehard Plesser) 12:50 GeNN: GPU-enhanced neural networks (James Knight) 13:25 Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles) 14:00 Coffee & Posters 15:00 Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Pier Stanislao Paolucci) 15:20 Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti) 15:40 Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova) 16:00 What’s new in the NEST user-level documentation (Jessica Mitchell) 16:20 ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler) 17:00 NEST Initiative Annual Meeting (members-only) 19:00 Conference Dinner Tuesday, 25th June 09:00 Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas) 09:45 Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi) 10:10 Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani) 10:30 NEST3 Quick Preview (Stine Vennemo & Håkon Mørk) -
Openshift Vs Pivotal Cloud Foundry Comparison Red Hat Container Stack - Pivotal Cloud Foundry Stack
OPENSHIFT VS PIVOTAL CLOUD FOUNDRY COMPARISON RED HAT CONTAINER STACK - PIVOTAL CLOUD FOUNDRY STACK 3 AT A GLANCE PIVOTAL CF OPENSHIFT • ●Garden and Diego • ●Docker and Kubernetes • ●.NET and Spring • ●.NET, Spring and JBoss Middleware • ●Only Cloud-native apps (including full Java EE) • ●Container security on Ubuntu • ●Cloud-native and stateful apps • ●Deployment automation • ●Enterprise-grade security on • ●Open Core Red Hat Enterprise Linux • ●Pivotal Labs consulting method • ●Complete Ops Management • ●100% Open Source 5X PRICE • ●Red Hat Innovation Labs consulting method BRIEF COMPARISON PIVOTAL CF OPENSHIFT GARDEN & DIEGO DOCKER & KUBERNETES • ●Garden uses OCI runC backend • ●Portable across all docker platforms • ●Not portable across Cloud Foundry distros • ●IP per container • ●Containers share host IP • ●Integrated image registry • ●No image registry • ●Image build from source and binary • ●Private registries are not supported • ●Adoption in many solutions • ●No image build • ●Adoption only in Cloud Foundry 11 NO NATIVE DOCKER IN CLOUD FOUNDRY Converters Are Terrible Cloud Foundry is based on the Garden container runtime, not Docker, and then has RunC and Windows backends. RunC is not Docker, just the lowest runtime layer Docker Developer Experience Does Not Exist in PCF PCF “cf push” Dev Experience does not exist for Docker. In Openshift v3 we built S2I to provide that same experience on top of native Docker images/containers Diego Is Not Kubernetes Kubernetes has become the defacto standard for orchestrating docker containers. -
Forrester: Multicloud Container Development Platforms, Q3 2020
LICENSED FOR INDIVIDUAL USE ONLY The Forrester Wave™: Multicloud Container Development Platforms, Q3 2020 The Eight Providers That Matter Most And How They Stack Up by Dave Bartoletti and Charlie Dai September 15, 2020 Why Read This Report Key Takeaways In our 29-criterion evaluation of multicloud Red Hat-IBM, Google, And Rancher Lead The container development platform providers, we Pack identified the eight most significant ones — Forrester’s research uncovered a market in which Canonical, D2iQ, Google, Mirantis, Platform9 Red Hat-IBM, Google, and Rancher are Leaders; Systems, Rancher, Red Hat-IBM, VMware — VMware, D2iQ, and Platform9 Systems are and researched, analyzed, and scored them. Strong Performers; and Mirantis and Canonical This report shows how each provider measures are Contenders. up and helps infrastructure and operations Dev Experience, Distributed Operations, And professionals select the right one for their needs. Ecosystem Integrations Are Key Differentiators As developers and technology teams race to meet the demand for cloud-native applications, developer experience and development services, distributed infrastructure operations, and rich ecosystem partnerships and integrations will dictate which platform providers will lead the pack. This PDF is only licensed for individual use when downloaded from forrester.com or reprints.forrester.com. All other distribution prohibited. FORRESTER.COM FOR INFRASTRUCTURE & OPERATIONS PROFESSIONALS The Forrester Wave™: Multicloud Container Development Platforms, Q3 2020 The Eight Providers