Data Centric Parallel Programming

Data Centric Parallel Programming Information Guide

1. Introduction on Data Centric Parallel Programming
2. Important Facts
3. Recent Updates
4. Deep Dive
5. Conclusion

Introduction on Data Centric Parallel Programming

In this slidecast, Torsten Hoefler from ETH Zurich presents: - global conference ONLINE, March 23–25, 2020 See also: Virtual ICM Seminars In ... This is a quick demo of a fast BLAS (Basic Linear Algebra Subprograms) implementation for FPGA using the DaCe ( Abstract: Python is rapidly becoming the language of choice for scientific Shriram Krishnamurthi ( is a professor of Computer Science at Brown University, where he researches ... Speaker: Tal Ben-Nun Venue: This talk was presented as a scientific keynote at HeteroPar'2020 GitHub: ...

This talk was recorded at NDC TechTown in Kongsberg, Norway.  ...

Important Facts

Recent Updates

High-level Data-Centric Parallel Programming for high performance BLAS on FPGAs - Xilinx XOHW20 161

PIM Course: Lecture 1: Data-Centric Architectures: Improving Performance & Energy - Fall 2022

Programming Model - Intro to Parallel Programming

Keynote (Day 1) - Bridging Productivity, Portability, and Performance with Data-Centric Python

A Data-Centric Introduction to Computing with Shriram Krishnamurthi

Stateful Dataflow Multigraphs: Data-Centric Performance Portability on Heterogeneous Architectures

Block-Based Parallel Programming - Bryce Adelstein Lelbach - NDC TechTown 2025

Design Features - Intro to Parallel Programming

Data-centric engineering and the Alan Turing Institute | Professor Andrew Blake

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 12, 2026

Conclusion

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.