UPEI appoints leadership positions in new Department of Equity, Diversity, Inclusion (EDI) and Human Rights
The University of Prince Edward Island announced in December 2023 that it had created the Department of EDI and Human Rights. The department has three major categories of responsibility: (i) equity, diversity, and inclusion; (ii) sexual violence prevention and response; and (iii) administration of harassment and discrimination complaints.
Invitation to special announcement on April 26
Members of the campus community are invited to attend a special announcement regarding the Robertson Library on Friday, April 26, at 11:00 am in the Robertson Library (second level).
Invitation to special announcement on April 24
Members of the campus community are invited to attend a special announcement regarding the Faculty of Business on Wednesday, April 24, at 11:00 am in Schurman Market Square, Don and Marion McDougall Hall.
Invitation to special announcement on April 22
Members of the campus community are invited to attend a special entrepreneurship announcement on Monday, April 22, at 2:00 pm in the Robertson Library Annex.
ACENET: Parallel computing with Graphic Processing Units (GPUs)
Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.
ACENET: Parallel computing with Message Passing Interface (MPI)
Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.
ACENET: Parallel computing with OpenMP
Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.
ACENET: Parallel computing with Dask
Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.
ADaPT Program Information Session
Calling all final semester students and graduates who live in Canada! Elevate your career by gaining the most recent digital and professional skills to exceed the demands of the modern workforce.
The ADaPT Program offers more than just training. It provides you with expert career support, helps boost your confidence for networking and interviews, and connects you with industry leaders for potential job placements.
ACENET: Overview of Parallel Computing
Parallel computing is the business of breaking a large problem into tens, hundreds, or even thousands of smaller problems which can then be solved at the same time using a cluster of computers, or supercomputer. It can reduce processing time to a fraction of what it would be on a desktop or workstation, or enable you to tackle larger, more complex problems. It’s widely used in big data mining, AI, time-critical simulations, and advanced graphics such as augmented or virtual reality.
