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Migrating the Jacobi Iterative Method from CUDA to SYCL

This document demonstrates how a linear algebra Jacobi iterative method written in CUDA can be migrated to the SYCL heterogenous programing language.

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Solving Heterogeneous Programming Challenges with Python, Today

Solving Heterogeneous Programming Challenges with Python, Today
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Jake vanderplasJames reindersJupyter numbaNumpy scipyUniversal functionsNumba data parallel extensionsUnified shared memoryData parallel controlNumba data parallel pythonLoops fast numerical computingPython data scienceParallel essentialsIntel distributionData parallel controls

Exascale: Aurora Early Adopter Series March 30 – Data Parallel Python, Bringing oneAPI to Python

March 4, 2022 — The Argonne Leadership Computing Facility (ALCF) will hold an online event on Wednesday, March 30 at 11 am Central Time as part of [.]

Praveen kundurthyArgonne joint laboratory for system evaluationMississippi state universityArgonne leadership computing facilityCentral timeAurora early adopter seriesData parallel pythonIntel distributionUnified shared memoryBlack scholesIntel devcloudJoint laboratorySystem evaluationDeveloper evangelistComputer engineeringMississippi state

Preparing for Aurora: Porting a Computational Chemistry Code to Exascale Architectures

Preparing for Aurora: Porting a Computational Chemistry Code to Exascale Architectures
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National nuclear security administrationExascale science applications programAurora early science programUs department of energyOffice of science user facilityArgonne national laboratoryNational energy research scientific computing centerArgonne leadership computing facilityScience user facilityArgonne nationalComputing projectEarly science programUnified shared memoryCompatibility toolExascale computing projectOak ridge leadership computing facility