'lsf' 검색 결과

NCPGR高性能计算集群LSF作业调度系统使用指南。用于提交、管理和监控LSF批处理作业，包括串行作业、多线程作业、MPI并行作业、GPU作业、数组作业等。当用户需要编写LSF作业脚本、提交计算任务、查询作业状态、调整作业参数或排查作业问题时使用此skill。

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LSF 作业内存不足时的调整技能。当作业因内存不够被挂起(SSUSP)或终止(EXIT/MEMLIMIT)时，通过调整 bsub -n 的节点（核数/slot）数量来扩大可用内存——可用运行内存 ≈ 5GB × 申请节点数。当用户说内存不足、作业被杀、OOM、需要更大内存，或排查 EXIT/SSUSP 作业时，配合 lsf-ncpgr skill 一起使用。

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LSF 作业内存不足时的调整技能。当作业因内存不够被挂起(SSUSP)或终止(EXIT/MEMLIMIT)时，通过调整 bsub -n 的节点（核数/slot）数量来扩大可用内存——可用运行内存 ≈ 5GB × 申请节点数。当用户说内存不足、作业被杀、OOM、需要更大内存，或排查 EXIT/SSUSP 作业时，配合 lsf-ncpgr skill 一起使用。

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NCPGR高性能计算集群LSF作业调度系统使用指南。用于提交、管理和监控LSF批处理作业，包括串行作业、多线程作业、MPI并行作业、GPU作业、数组作业等。当用户需要编写LSF作业脚本、提交计算任务、查询作业状态、调整作业参数或排查作业问题时使用此skill。

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Prepare and launch nf-core/pacsomatic workflows for matched tumor and normal PacBio HiFi samples. Generate sample sheets and launch files from unaligned BAM inputs, run local checks, submit cluster launchers, and troubleshoot startup failures.

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• Prepare sample sheets for matched tumor and normal samples
• Review generated launch files with a dry run
• Submit a Nextflow launcher to a computing cluster

Cloud IAM red-team attack chain across AWS, Azure, GCP — focused on EXTERNAL exploitation paths and post-credential-discovery privilege analysis. Covers IAM enumeration (aws iam, az role, gcloud iam), STS/AssumeRole chaining, Azure Managed Identity abuse (via SSRF/leak), GCP service account JSON abuse, IMDSv1/v2 attacks via SSRF, K8s ServiceAccount token privilege analysis once held (token discovery / cluster exposure is owned by hunt-k8s), role-trust-policy confused-deputy, cross-account assume-role enumeration, IAM privilege escalation patterns (24+ AWS, 8+ Azure, 6+ GCP), and AWS Cognito Identity Pool unauthenticated-role attack chain (GetId → GetCredentialsForIdentity → IAM role abuse). Built for the case where recon yields a credential (key, JSON, token) and you need to know what it grants and how to escalate. Use when an AWS key / Azure secret / GCP service account JSON / K8s SA token surfaces from a code repo, JS bundle, APK, breach corpus, or SSRF chain.

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Design and implement adaptive filters using DSP System Toolbox System objects. Use when working with adaptive filtering, system identification, noise cancellation, echo cancellation, active noise control (ANC), channel equalization, inverse system identification, or adaptive prediction. Covers dsp.LMSFilter, dsp.RLSFilter, dsp.FilteredXLMSFilter, dsp.FrequencyDomainAdaptiveFilter, dsp.AffineProjectionFilter, dsp.BlockLMSFilter, dsp.AdaptiveLatticeFilter, dsp.FastTransversalFilter, maxstep(), and algorithm selection for adaptive filtering problems. Replaces deprecated adaptfilt.* objects (removed R2020a).

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Python-based workflow manager for reproducible, scalable pipelines. Define rules with file-based dependencies; Snakemake resolves execution order and parallelism. Runs local, SLURM, LSF, AWS, GCP via profiles; per-rule conda/Singularity envs. For NGS pipelines, ML training, and multi-step file processing. Use Nextflow for Groovy dataflow or nf-core integration.

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Use when writing C# / VB.NET / F# code that reads, writes, manipulates, or exports Excel (.xlsx / .xls) files, generates PDF or HTML from Excel, or produces data-driven reports with FlexCel Studio for .NET (TMS Software). Triggers include Excel/xlsx from C#, XlsFile, FlexCelReport, FlexCelPdfExport, FlexCelHtmlExport, FlexCelImgExport, ExcelFile, PdfWriter, .NET Excel export, ASP.NET Excel generation, .NET MAUI Excel, Native AOT + Excel, and Excel reporting from .NET.

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Use when writing Delphi / FreePascal / C++Builder code that reads, writes, manipulates, or exports Excel (.xlsx / .xls) files, generates PDF or HTML from Excel, or produces data-driven reports with FlexCel Studio for VCL and FireMonkey (TMS FlexCel). Triggers include Excel/xlsx from Delphi, TXlsFile, TFlexCelReport, TFlexCelPdfExport, TFlexCelHtmlExport, FireMonkey Excel export, Lazarus Excel, and Excel reporting from Pascal.

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Authors reproducible Nextflow DSL2 pipelines built on reactive dataflow, where processes communicate only through channels and execution order is not guaranteed. Use when deciding channel/dataflow (Nextflow) vs rule-based (Snakemake) authoring; wiring queue vs value channels and fixing shared-reference exhaustion with .first(); composing DSL2 modules and subworkflows with take/main/emit; selecting container/conda profiles and pinning images by digest for portability across local/SLURM/LSF/AWS Batch/Google Batch/Kubernetes executors; diagnosing why -resume misses the cache (nondeterministic input order, mtime on network filesystems, mutable :latest tags) with cache 'lenient' and -dump-hashes; managing work/ vs publishDir and dynamic retry escalation; and choosing whether to adopt an nf-core community pipeline or author from scratch.

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Use when users need bioinformatics analysis on the NCPGR cluster, especially when converting analysis requests into local software choices, resource plans, and LSF job scripts.

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NCPGR高性能计算集群软件使用注意事项与优化指南。聚焦各软件的坑点、加速技巧、资源节省建议与软件选型推荐。当用户询问集群上如何高效使用软件、编写LSF作业、或需要软件选型建议时使用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NCPGR高性能计算集群软件使用注意事项与优化指南。聚焦各软件的坑点、加速技巧、资源节省建议与软件选型推荐。当用户询问集群上如何高效使用软件、编写LSF作业、或需要软件选型建议时使用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when users need bioinformatics analysis on the NCPGR cluster, especially when converting analysis requests into local software choices, resource plans, and LSF job scripts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cloud IAM red-team attack chain across AWS, Azure, GCP — focused on EXTERNAL exploitation paths and post-credential-discovery privilege analysis. Covers IAM enumeration (aws iam, az role, gcloud iam), STS/AssumeRole chaining, Azure Managed Identity abuse (via SSRF/leak), GCP service account JSON abuse, IMDSv1/v2 attacks via SSRF, K8s ServiceAccount token privilege analysis once held (token discovery / cluster exposure is owned by hunt-k8s), role-trust-policy confused-deputy, cross-account assume-role enumeration, IAM privilege escalation patterns (24+ AWS, 8+ Azure, 6+ GCP), and AWS Cognito Identity Pool unauthenticated-role attack chain (GetId → GetCredentialsForIdentity → IAM role abuse). Built for the case where recon yields a credential (key, JSON, token) and you need to know what it grants and how to escalate. Use when an AWS key / Azure secret / GCP service account JSON / K8s SA token surfaces from a code repo, JS bundle, APK, breach corpus, or SSRF chain.

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