Challenge winner and professional developer Eugenio Marinelli of France used oneAPI’s complete set of cross-architecture libraries and tools for his application. He was able to efficiently develop a new application for implementing scalable, heterogeneous parallel processing algorithms that can be used to quickly and accurately decode digital data stored in synthetic DNA.

The Great Cross-Architecture Challenge was a 14-week contest for professional and student software developers who are 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® DPC++ Compatibility Tool or by creating an entirely new oneAPI application. As part of the contest, developers received free access to Intel® oneAPI Toolkits on Intel® DevCloud across an array of Intel CPUs, GPUs and FPGA architectures, along with resources such as code samples, dev guides, webinars, and a developer collaboration portal (Intel® DevMesh).

Speaker

Eugenio Marinelli is currently a PhD student in the Data Science Department at EURECOM in Sophia Antipolis, France. He received his 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.