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NSCC HPC Profiling Bootcamp

openhackathonsHosted on Open Hackathons

Fetched 1 day ago

Monday, May 25, 2026

to Thursday, May 28, 2026

•

3 days long

CloudDevOpsInnovationResearchEducation

Event Type

online

Together with NVIDIA and OpenACC organization, The National Supercomputing Centre (NSCC) Singapore will host an online bootcamp on 28 May. A online cluster dry run session will happen on 25 May. A online cluster dry run session will happen on 25 May. As a hands-on virtual intensive, the session goes beyond basic coding to help participants master NSCC’s GPU resources and better understand the complexities of working within NSCC’s high-performance computing environment.The HPC Profiling Bootcamp is designed from a real-world perspective on how to efficiently utilize GPUs. This bootcamp contains learning materials and exercises for NVIDIA Nsight Tools. Goal is to learn how to profile your application with NVIDIA Nsight Systems, Compute, and NVTX API calls to find performance limiters and bottlenecks and apply incremental parallelization strategies.This virtual bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct