Innovative Excellence at Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC) is a world-renowned university excelling in teaching, research, and scientific output. With a vast network of research groups and facilities, UPC is a key player in generating knowledge and solutions for societal advancement. The university's emphasis on a
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OBPMark and OBPMark-ML: Computational Benchmarks for Space Applications
OBPMark and OBPMark-ML are computational benchmarks developed by ESA and BSC/UPC for on-board data processing and machine learning in space applications. These benchmarks aim to standardize performance comparison across different processing devices, identify key parameters, and provide recommendatio
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2017 Retail Channel Study - Avocado Category Channel Trends: Bagged vs. Bulk
This study delves into insights and growth opportunities for the avocado category by analyzing shopper purchase trends for bagged and bulk avocados across various retail channels. It provides a comparison of bagged vs. bulk avocado sales in grocery stores, Walmart, club stores, mass/supercenters, in
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ChallengED Project - Empowering Innovation and Civic Engagement
The ChallengED project aims to develop a Challenge-Based Learning (CBL) entrepreneurship course focused on sustainable improvements and impact measurement. Partners include KU Leuven, TU/e, KTH, UPC, and Polito Torino. Objectives include enhancing entrepreneurial skills, civic engagement, and addres
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Enhancing Continuity of Care at White Ladies Road Practice
White Ladies Road, a single-site practice in Bristol, implemented a project to improve continuity of care for their learning disability patient cohort. By focusing on updating patient records, assigning usual GPs, and providing reminders, they saw significant improvements in UPC Usual GP scores. The
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Introduction to Charm++ Programming Framework
Charm++ is a generalized approach to parallel programming that offers an alternative to traditional parallel programming languages like MPI, UPC, and GA. It emphasizes overdecomposition, migratability, and asynchrony to enhance parallel program performance and efficiency. The framework uses indexed
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