From a4087cf535a6d310df095109c908b62e1ed6e0c3 Mon Sep 17 00:00:00 2001 From: Izzet Yildirim Date: Tue, 14 Nov 2023 10:28:31 -0700 Subject: [PATCH] WisIO project added. --- src/data/projects.ts | 15 ++++ src/pages/research/projects/wisio.mdx | 86 +++++++++++++++++++ src/types.ts | 4 +- static/img/projects/wisio/evalcm1.png | Bin 0 -> 224470 bytes static/img/projects/wisio/evalgenome.png | Bin 0 -> 264013 bytes static/img/projects/wisio/evalmontage.png | Bin 0 -> 348272 bytes static/img/projects/wisio/evalmotivation.png | Bin 0 -> 121468 bytes static/img/projects/wisio/logo.png | Bin 0 -> 14394 bytes 8 files changed, 104 insertions(+), 1 deletion(-) create mode 100644 src/pages/research/projects/wisio.mdx create mode 100644 static/img/projects/wisio/evalcm1.png create mode 100644 static/img/projects/wisio/evalgenome.png create mode 100644 static/img/projects/wisio/evalmontage.png create mode 100644 static/img/projects/wisio/evalmotivation.png create mode 100644 static/img/projects/wisio/logo.png diff --git a/src/data/projects.ts b/src/data/projects.ts index 28c6670f..8b7d2401 100644 --- a/src/data/projects.ts +++ b/src/data/projects.ts @@ -114,6 +114,21 @@ const projects: Project[] = [ status: "active", type: "funded", }, + { + id: "wisio", + name: "WisIO", + title: + "WisIO: Automated I/O Bottleneck Detection via Multi-Perspective Views for HPC Workloads", + shortDescription: + "Explore WisIO, an automated I/O bottleneck detection tool with multi-perspective views for I/O trace data analysis. Overcoming large-scale I/O challenges, WisIO utilizes distributed computing and an extensible rule engine for tailored solutions. Elevate your I/O analysis in HPC environments with WisIO.", + link: "/research/projects/wisio", + isFeatured: false, + isOpenSource: false, + isOurs: true, + researchStatus: "r&d", + status: "active", + type: "student", + }, ]; export default projects; diff --git a/src/pages/research/projects/wisio.mdx b/src/pages/research/projects/wisio.mdx new file mode 100644 index 00000000..2a7baa14 --- /dev/null +++ b/src/pages/research/projects/wisio.mdx @@ -0,0 +1,86 @@ +--- +title: "WisIO: Automated I/O Bottleneck Detection via Multi-Perspective Views for HPC Workloads" +--- + +import ProjectBadges from "@site/src/components/projects/ProjectBadges"; + +

+ +

+ +# WisIO: Automated I/O Bottleneck Detection via Multi-Perspective Views for HPC Workloads + + + +Highly data-dependent HPC workloads create pressure on storage systems. With increasing storage +diversity in modern HPC systems, complexity challenges users and leads to I/O bottlenecks. Earlier +solutions combined I/O characteristics with expert insight, while recent approaches use performance +analysis tools. However, the multifaceted problem, with numerous metrics, remains challenging for +manual resolution, even for experts. + +To this end, we introduce **WisIO**, an automated I/O bottleneck detection tool for HPC workloads. +The key contributions of this work are: + +- **Design of WisIO** for automating I/O bottleneck detection +- **A novel approach** to reducing the search space within I/O traces +- **A global and extensible rule engine** for bottleneck detection rules + +## Motivation + +![](/img/projects/wisio/evalmotivation.png) + +Out-of-core I/O analysis queries in a memory-limited environment necessitate query and dataset +optimization for distributed analysis. + +## Methodology + +* Execute HPC workloads, capture I/O traces via Darshan or Recorder +* Convert and optimize I/O traces to Parquet format +* Generate a multi-perspective view with I/O characteristics +* Compute bottleneck severity scores and produce user-friendly text-based diagnoses through a rule-based engine + +## Use Case: Montage (Workflow with Complex Dependencies) + +![](/img/projects/wisio/evalmontage.png) + +* For efficiency, the process IDs are hashed with respect to their node addresses and hostnames +* Allows us to analyze groups of process IDs effectively +* 1280 ranks perform 3.2M read and 1.6M write operations +* Average bandwidth is low (~3MB/s) +* Multi-perspective analysis takes **42 seconds** +* Process-based analysis produces diagnoses with specific nodes or apps +* **14 diagnoses** produced with severity scores between 52-61.4% + +## Use Case: CM1 (Simulation with Separate I/O Phases) + +![](/img/projects/wisio/evalcm1.png) + +* Timestamps are converted into microseconds as indexing in Dask works faster with non-decimal values +* For precision, the middle point of two timestamp is used in analysis instead of their range +* 94.6% of I/O time is spent during the first 20 seconds +* Rank 0 performs 100% of the writes on small files +* Multi-perspective analysis takes **22 seconds** +* Time-based analysis produces diagnoses with specific time ranges +* Above is an actual text-based diagnosis for CM1 +* **20 diagnoses** produced with severity scores between 55-85% + +## Use Case: 1000 Genomes (Data-Intensive Workflow) + +![](/img/projects/wisio/evalgenome.png) + +* The filenames are hashed with respect to folder hierarchy +* Allows us to analyze file directories effectively +* There are 21m files and all of them are accessed file-per-process basis +* Multi-perspective analysis takes **12 minutes** +* File-based analysis produces diagnoses with specific folder hierarchy +* **30 diagnoses** produced with severity scores between 54-67.1% + +## Key Takeaways + +* WisIO automates I/O bottleneck detection for HPC workloads +* WisIO's novel search space reduction approach enable I/O analysis for large-scale I/O traces +* WisIO's multi-perspective views can detect I/O bottlenecks that might be otherwise overlooked +* WisIO's extensible rule engine allows users to define custom rules diff --git a/src/types.ts b/src/types.ts index e10d2f46..449d03d4 100644 --- a/src/types.ts +++ b/src/types.ts @@ -32,7 +32,9 @@ export type ProjectId = | "hermes" | "iris" | "dtio" - | "labios"; + | "labios" + | "viper" + | "wisio"; export type Project = { id: ProjectId; diff --git a/static/img/projects/wisio/evalcm1.png b/static/img/projects/wisio/evalcm1.png new file mode 100644 index 0000000000000000000000000000000000000000..d350f5f5cc5de481435cea1f7997f77b230daf07 GIT binary patch literal 224470 zcmeFYg;!hO);8MG;uMMmDc0fyhqkyBiaP{%C|2BxLj$Bhu%f|Ti+h4QCBdOcaff0> zipxiT=bZ075&wVZ|FPB0|0k_+w2n1g{Xc_vaEEl4?bD=(mSfes>NGCn5QeAl2E~iBO=Wr z{a}TblOthYb}P~={`KKk2@_Seiz(9{+McSnHJz|{~BukBzOLm0%{~% zHzYKa5<)1Lh(rIMiE%SGgCL%%?WcjUJf5s{iWzwiUsqCqif+QJE{US5xP6U5H8o|D zK_(HG=;=iaI$f;nIEm7>wzdLZzh4I3 zVyc&?t2q3ffcNaH@t>tAs#!D(@t^=Us|4vHA6B9N{D<`L{6e%eepF+>RCG5_u`Xe; z9-r!CUYqB?cZ#$T<2g^bEpgW8idsK0NuaBn=W6*dGCZ=I()9!q0zr>}T4>+2o*)y2 zo5n+Naxc704~U9_bjNznA&x 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