This paper is an extension based on my SLE'22 paper, with some exciting parallel computing work added! have a look at https://www.sciencedirect.com/science/article/pii/S0164121224000852 and feel free to dm me!
HPC
Drive faster breakthroughs through faster code: Get more results on your hardware today and carry your code forward to the future with code modernization.
The Generic Circuit Level Tool for Evaluation of Nano-Cross Bar Memory using Memristors is a software tool designed to help researchers and engineers in the field of memristor technology. It is a circuit level tool that automates the process of generating the memristor array circuit in a spice environment, making it easier and faster for researchers to design and simulate memristor circuits.
This seminar in a series offered by Information Technology will provide an overview of high- performance computing (HPC). An invaluable tool in today's research, it enables to do massive simulations and crunch large amounts of data.
The "Parallel Programming with oneAPI" workshop saw almost 30 participants learn about parallel programming and Intel's oneAPI. Attendees started with an intro to oneAPI, then optimized codes in a parallel programming competition in a computer lab. The goal was to make code faster with tools like multicores and GPUs. Participants had supervised time for parallelization, then continued working offline. The workshop was a great opportunity to learn about parallel programming and oneAPI.
This event is being organized by Cyber Security Club Sukkur IBA University with the collaboration of the Computer Science Department, Sukkur IBA Student Council, and MLSA Club Sukkur IBA. The workshop was held in person at Sukkur IBA Main Campus
Level-Zero is a close to bare-metal API for programming heterogeneous architectures, and it is shipped as part of Intel oneAPI. Additionally, it can be used as a standalone API. This article shows the basic architecture, what is used for, and an example for dispatching matrix multiplication on the Intel HD Graphics with SPIR-V.
In this article, we are going to discuss about SYCL, regarding “What it’s about”, “How to implement” and other interesting topics, please give it a read and explore!
Connect with Linux/macOS SSH Client
In this series, I will try to cover the following parts: Part 1 : So Far So Good - What I have learnt about Data Parallelism and Thread Parallelism Part 2: Efficiently Splitting Instances of Input Data Across Kernels in DPC++ a. Mapping a 1-dimensional array to an Heterogeneous processor - Sequential versus Thread Parallel b. Mapping a 1-dimensional array to an Heterogeneous processor - Data Parallel C++
Adding Intel oneAPI compilers and toolkits to the automated workflows for your open-source project is easier than you might think.
Using a simple computational operation (incrementing values in an array), we evaluate the launch latency of SYCL kernels, OpenMP parallel regions and target regions at various array sizes. We evaluate these kernels on an Intel i5-6500, and its integrated HD Graphics 530 GPU, as well as an i9-10920X together with a Iris Xe MAX GPU in Intel DevCloud.
What was called Blogs on DevMesh is now called Posts.