---
code_id: 124181
site_ownership_code: "ANL"
open_source: true
repository_link: "https://github.com/hpc-science/mc_on_accelerators"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "John"
  last_name: "Tramm"
  middle_name: ""
  affiliations:
  - "Argonne National Laboratory (ANL), Argonne, IL (United States)"
- email: ""
  orcid: ""
  first_name: "Bryce"
  last_name: "Allen"
  middle_name: ""
  affiliations:
  - "Argonne National Laboratory (ANL), Argonne, IL (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE"
  funding_identifiers: []
  primary_award: "AC02-06CH11357"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Argonne National Laboratory (ANL), Argonne, IL (United States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2024-03-12"
software_title: "MONTE CARLO CROSS SECTION LOOKUP KERNEL FOR THE CEREBRAS WSE-2 IN\
  \ CSL"
doi: "https://doi.org/10.5281/zenodo.10067506"
description: "This is a small kernel that was used to collect data for an upcoming\
  \ paper. We would like to have the code be open source so that the reviewers (and\
  \ then readers) of the paper can see the whole code, and can reproduce/verify our\
  \ results. This is not a fully featured application, it cannot produce any useful\
  \ simulation results, it just executes a small abstracted kernel using synthetic\
  \ data. The purpose of the kernel is to understand the basic performance characteristics\
  \ of an HPC kernel on novel AI accelerator architectures. The main kernel is written\
  \ in the CSL coding language for use with the Cerebras WSE-2 AI accelerator. The\
  \ kernel represented is the Monte Carlo cross section lookup kernel, which is a\
  \ small kernel used by the Monte Carlo neutral particle transport algorithm. There\
  \ is also a baseline kernel written in CUDA that we will include in the repository\
  \ to form a basis for comparing the WSE-2 to GPU."
programming_languages: []
country_of_origin: "United States"
project_keywords: []
licenses:
- "MIT License"
recipient_org: "Argonne National Laboratory"
date_record_added: "2024-03-12"
date_record_updated: "2024-03-19"
is_file_certified: false
last_editor: "stooksburys@osti.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/124181"