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Secure Multi-Team HPC Platforms for Automotive CAE

30 Chapters
View Course Samples Online
01
Automotive CAE workloads on HPC
crash, NVH, CFD, thermal, and durability simulation characteristics, solver profiles, and multi-team usage patterns.
AutomotiveCAE
02
Multi-team HPC platform requirements
tenant isolation, fair share scheduling, data segregation, and compliance drivers in automotive OEM and supplier environments.
Multi-teamHPC
03
HPC cluster architecture for CAE
compute nodes, high-speed interconnect, parallel filesystems, job schedulers, and their security-relevant interfaces.
HPCarchitecture
04
Identity and access management for multi-team HPC
directory services, federated identity, RBAC, project-based entitlements, and privileged access management.
Identitymanagement
05
Secure job submission and scheduling
Slurm, PBS Pro, and LSF configuration for tenant-aware queues, accounts, and resource limits.
submissionscheduling
06
Data protection for CAE artifacts
encryption at rest and in transit, key management, secure scratch, and handling of CAD, mesh, and result files.
protectionCAE
07
Network segmentation and isolation in HPC
VLANs, overlay networks, InfiniBand partitioning, and firewall policy for multi-tenant clusters.
segmentationisolation
08
Containerization and workload isolation for CAE solvers
Singularity/Apptainer, Podman, rootless execution, and image provenance.
Containerizationworkload
09
Secure software supply chain for CAE tools
license servers, module systems, package repositories, and integrity verification of solver binaries.
softwareCAE
10
Multi-team storage architecture
parallel filesystem quotas, project directories, ACLs, POSIX and NFSv4 permissions, and cross-team data sharing controls.
Multi-teamarchitecture
11
Auditing and monitoring in HPC
job accounting, syslog, auditd, SIEM integration, and anomaly detection for multi-tenant CAE workloads.
Auditingmonitoring
12
Incident response for HPC platforms
compromised compute nodes, data exfiltration attempts, and coordinated response across teams.
Incidentresponse
13
Compliance and governance for automotive CAE data
ITAR, export controls, GDPR, TISAX, and internal security policies.
Compliancegovernance
14
Secure remote access and visualization
SSH bastion hosts, VDI, remote desktop for CAE pre/post-processing, and zero-trust access.
visualizationSSH
15
Resource management and fair sharing
cgroups, Slurm cgroups plugin, memory limits, GPU partitioning, and preventing noisy-neighbor effects.
Resourcemanagement
16
High availability and disaster recovery for multi-team HPC
redundant head nodes, backup strategies, and recovery of CAE data and job state.
availabilitydisaster
17
Performance isolation and QoS
I/O bandwidth throttling, network QoS, and ensuring predictable CAE solver performance across tenants.
Performanceisolation
18
Secure configuration management
Ansible, Puppet, or Salt for consistent security baselines across HPC nodes and teams.
configurationmanagement
19
Vulnerability management in HPC
patching strategies for compute nodes, kernel live patching, and managing downtime across teams.
Vulnerabilitymanagement
20
Multi-team collaboration and data exchange
secure file transfer, shared project spaces, and workflow orchestration for CAE teams.
Multi-teamcollaboration
21
GPU-accelerated CAE security
CUDA, ROCm, GPU virtualization, MIG, and isolation of GPU resources among teams.
GPU-acceleratedCAE
22
Cloud bursting and hybrid HPC for CAE
secure extension to AWS, Azure, or GCP, VPN/Direct Connect, and data residency.
burstingHPC
23
License management and security
FlexLM, DSLS, and token-based licensing, preventing license abuse and ensuring availability.
managementsecurity
24
Job profiling and optimization for security
performance counters, profiling tools, and detecting malicious or anomalous job behavior.
profilingoptimization
25
Secure decommissioning and data sanitization
wiping storage, secure disposal of compute nodes, and certificate revocation.
decommissioningsanitization
26
Automation and orchestration for multi-team HPC
CI/CD for HPC environments, infrastructure as code, and policy as code.
Automationorchestration
27
Threat modeling for HPC platforms
STRIDE, attack trees, and identifying risks specific to automotive CAE multi-team setups.
modelingHPC
28
Case study
designing a secure multi-team HPC platform for a large automotive OEM with internal and supplier teams.
designingmulti-team
29
Case study
responding to a security breach in a multi-team CAE HPC environment and implementing lessons learned.
respondingsecurity
30
Future trends and emerging technologies
confidential computing, post-quantum cryptography, AI-driven security analytics, and their impact on HPC for CAE.
emergingtechnologies