Great Cross-Architecture Challenge Application Showcase
LIGHTNING TALK
Great Cross-Architecture Challenge Application Showcase
The Great Cross-Architecture Challenge was a 14-week contest intended for both professional and student software developers interested in developing cross-architecture applications using oneAPI. Participants were challenged to be the next “oneAPI hero” by either porting an existing C/C++ or CUDA application using the Intel(r) DPC++ Compatibility Tool or creating an entirely new oneAPI application. As part of the contest, developers received free access to the Intel oneAPI Toolkits on Intel Devcloud across an array of Intel CPU, GPU and FPGA architectures, along with resources such as code sample, dev guides, webinars, and a developer collaboration portal (Intel DevMesh).
Download Zhen Ju, Great Cross Architecture Challenge Presentation
Download Eugenio Marinelli, Great Cross Architecture Challenge Presentation
Download Andrew Pastrello, Great Cross Architecture Challenge Presentation
Speaker(s)
Andrew Pastrello
Andrew Pastrello is a PhD student at UNSW Sydney and a nuclear engineer at the Australian Nuclear Science and Technology Organisation. His research is in performance portable Monte Carlo neutron transport algorithms, and he is interested in programming new computer architectures.
Zhen Ju
Zhen Ju gets his master’s degree from the University of the Chinese Academy of Sciences(UCAS) in 2016, and now is a Ph.D. candidate at UCAS, and he is major in computer science. Zhen Ju research in the fields of high-performance computing and heterogeneous acceleration. He has experience in accelerate codes on heterogeneous devices. He has developed an application that can remove redundancy sequences from biological sequences by CUDA and migrated it to One API.
Eugenio Marinelli
Eugenio Marinelli is currently a Ph.D. student in the Data Science Department at EURECOM in Sophia Antipolis (France). He received its master’s degree in Computer Engineering from the Politecnico di Torino in April 2021. His research interests include hardware acceleration for DNA data storage and HPC.
