Rafael Campos of Portugal demonstrated oneAPI’s fast and efficient development by adapting OpenCL™ applications using modern constructs and minimal programming effort. The result is the boosting of performance and power efficiency of bioinformatic applications, specifically for epistasis detection.

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

Rafael Campos obtained his MS degree in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Universidade de Lisboa in 2019. He is currently a young researcher at Instituto de Engenharia de Sistemas e Computadores R&D (INESC-ID), as a part of the HPCAS group. His main interests are performance modeling of heterogeneous systems and GPUs. His work includes performance optimization of bioinformatics applications and roofline modeling of high-performance heterogeneous CPU and GPU systems.