The need for this workshop has become increasingly important as the drive towards precision medicine has accelerated, the challenges in cancer research and clinical application requiring computational solution are growing, and the pursuit of effective predictive models for complex biological systems begin to inform future exascale computing requirements. The role of computation in cancer research has only become more pronounced with the National Strategic Computing Initiative, the Precision Medicine Initiative, the Exascale Initiative from the DOE and the announcement of the "cancer moonshot" at the 2016 US Presidential State of the Union Address.
In the workshop, we bring together the computational community interested in the use high-performance computing, analytics, predictive modeling, and large datasets in cancer research and clinical applications. As a disease-specific workshop, the workshop provides a regular opportunity where individuals with expertise across a variety of computational technologies and applications can convene, cross-educate, share progress, ideas and challenges, and seek opportunities for cross-interest collaboration and innovation. The participation in the workshop is inherently inter-disciplinary, with the common interest in cancer and computation the unifying theme. As such, the workshop provides rich opportunities for attendees to learn about future directions, current applications and challenges and build collaborations. Maintaining a perspective of translation of ideas to clinical application, the workshop will include involvement of interests from the research, clinical and regulatory areas.
The target audience for the workshop is those with shared interests in computational approaches for cancer. The workshop is again expected to attract those developers, researchers, and vendors with technologies and solutions believed to hold potential to address problems in cancer and seeking potential collaborators to work with. The workshop will also attract cancer investigators, clinicians and others who have recognized the need for HPC solutions, seeking an overview of potential solutions and potential collaborators. The third segment of the target audience are those individuals seeking career opportunities in cancer research and/or clinical applications, where the workshop will highlight forward looking directions in these areas.
The first workshop attracted cross-disciplinary participation. A representative sample of expertise self-reported during the workshop and the BoF includes HPC, machine learning, bioinformatics, parallel programming, big data, computer systems architecture, FPGAs, physics, biomedicine, virology, GPU computing, computational physics, pattern recognition, software development, aerospace/computational fluid dynamics, crystallography, mathematics, storage, computer science, structural biology, IT infrastructure, protein structure, visualization, and systems biology.