Intel® Student Ambassador Program
Overview
This program is focused on undergraduate and graduate students who are passionate about technology and working with developer communities to promote learning, sharing, and collaboration. It provides opportunities for students to enhance their AI and oneAPI skills, expand their network, and learn about the cutting-edge Intel® hardware and software products.
Benefits
- Recognition from Intel as an AI or oneAPI expert
- Support from Intel to organize local events, such as watch parties and workshops (virtual or face to face), to build their campus communities
- Extended access to Intel® Developer Cloud
- Early access to the latest technology developments that are under a nondisclosure agreement (NDA)
- Invitations to exclusive Intel events and training
- Reimbursement from Intel for participating in accepted conferences and events
- Opportunity to be considered for an internship at Intel
The Role of a Student Ambassador
- Organize and deliver AI, high-performance computing (HPC), or visualization-focused training and workshops for students.
- Evangelize software development tools and resources from Intel.
- Develop and share projects using Intel® technologies that inspire fellow students.
- Post blogs and articles to share new lessons learned and best practices with peers.
- Commit to act as an Intel® Student Ambassador for one academic year.
How to Apply
Requirements
- Enrolled in an undergraduate or graduate degree in any regionally accredited university
- Have a minimum of one year left until graduation
- Advocate for Intel technologies on campus
- Share your work at events and conferences and host meetups on campus
- Create a project that describes the work or the research you support on GitHub*
Application Process
- Create an AI or oneAPI project on GitHub*.
- Submit an application.
- Intel evaluates your application, and then responds to qualified candidates with instructions for the next steps.
Program Highlights
Intel Student Ambassador Research Article
Read Exploring the Performance and Portability of the K-means Algorithm on SYCL* across CPU and GPU Architectures by student ambassador Youssef Faqir-Rhazoui (Complutense University of Madrid).
Academic Hands-on Workshop, Chicago
See how Intel partnered with professors and leaders in the oneAPI community to host a first of its kind event for students.
Featured Student Ambassadors
Kaan Olgu, University of Bristol
Kaan is using oneAPI, specifically SYCL, to delve into the realm of random memory accesses on FPGAs, with a specific focus on optimizing the Breadth-First Search (BFS) algorithm. The goal of his research is to uncover strategies for enhancing the efficiency of random memory accesses in BFS implementations. By using the power of oneAPI's SYCL, he seeks to unlock new insights and techniques that can significantly improve memory handling in FPGA-based BFS computations. This endeavor holds promise for advancing the performance capabilities of BFS applications across a range of domains.
Sinda Besrour, University of Moncton
Sinda's bird species classification is a deep learning project based on oneAPI and TensorFlow*. The data includes a total of 1,856 audio records split into 40 bird species. She implemented the project on the Intel Developer Cloud and created a conda* environment that inherits from the existing TensorFlow environment.
Youssef Faqir, Complutense University of Madrid
Youssef uses Intel® toolkits to develop portable algorithms without losing performance for multiarchitecture devices such as CPUs and GPUs. For that work, he developed the Non-Negative Matrix Factorization (NMF) algorithm in DPC++ (the oneAPI implementation of SYCL) and OpenMP*, and the K-means algorithm focused to run over multivendor accelerators. Youssef plans to extend these works to FPGAs and compare the differences among architectures.
Success Stories
See Intel® Student Ambassador Zhibo Li's work on the Collection Skeletons library using Intel toolkits. This library provides a solution for portable parallel performance.
Intel Student Ambassador Joel John Joseph details how he used oneAPI in his project that focused on predicting wildfire behavior.
Intel Student Ambassador, Dev Aryan Khanna details how he used the AI reference kits from Intel for his healthcare AI companion project.
The winner of the 2023 Intel® Student Ambassador Hackathon, Yuri Achermann, highlights his project using AI Tools and his experience as an Intel Student Ambassador.
Student ambassador Migara Amarasinghe details how he used the open source SYCLomatic tool to transition CUDA* codes to SYCL, thereby enabling the effective use of accelerators from multiple vendors, such as Intel, NVIDIA*, and AMD*.
See how student ambassador Poornima Nookala achieved extreme fine-grained parallelism on modern many-core architectures using oneAPI. She also explains her contribution to the development of Template Task Graph (TTG), which is a new flow graph programming model for high-performance algorithms running on distributed heterogeneous computer platforms.
Read how this student ambassador uses oneAPI for his project to produce a semicoherent natural language processing system. He also uses SYCL for dataset management to offload the work to a GPU.
Publications
Explore various publications from students, instructors, educators, and researchers who are part of the Intel® Academic Program for oneAPI.
Become an Intel Student Ambassador
Get ready to inspire and influence your peers from across the globe. Demonstrate your technology leadership in AI, HPC, visualization, and rendering.
For more information, contact us.
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