Authors: Eric Stahlberg (Frederick National Laboratory for Cancer Research, Leidos Biomedical Research), Patricia Kovatch (Icahn School of Medicine at Mount Sinai), Ted Slater (Cray Inc), Thomas Steinke (Zuse Institute Berlin)
Abstract: High-Performance Computing is experiencing a dramatic increase in interest as new frontiers in deep learning are explored, volumes and variety of data are exploding, cloud-based HPC provides ready-access and extreme scale computing leads to new questions and approaches. Changes are occurring globally, providing new avenues for collaborations, identifying new insights to benefit all. Key topics including the role of machine learning, access to quality data, sharing and accessing predictive models, and insights from the patient perspectives. Following the successful format of past years, the BoF will be informative and highly-interactive with presentations to inspire and encourage significant discussion among attendees.
Long Description: Cancer is a disease that touches us all. As the importance of HPC and HPC technologies has grown in medical applications, underscored by several large scale initiatives including the 21st Century Cures Act, the Cancer Moonshot, the Precision Medicine Initiative, Cancer Systems Biology Consortium and many efforts employing machine and deep learning involving large scale cancer data and high-performance computing. It is important to bring together the multiple interests as a community to increasingly share insight and expertise with a specific focus on cancer. The session aims to bring together those in the HPC field who have an interest in understanding and expanding the impact and critical role for HPC can have on cancer.
The BoF is being organized to provide a framework for extending the learning and awareness about the significant role HPC has in fighting and treating cancer, both in specific domains and across many available technologies. The need to convene across technology domains is essential since both simulation and big data are key to making progress on this disease. Multiple HPC technologies used significantly in cancer prevention, diagnosis, treatment, monitoring and validation. The need for HPC in cancer precision medicine has become central to efforts in predictive oncology, data sharing, more rapid treatment identification, and rapid diagnosis.
The first series of HPC and Cancer BoFs have both been well attended by participants across the HPC and scientific fields with an interest in building collaborations, gaining insight into shared challenges, and seeking new opportunities to contribute to advances in overcoming cancer.
Background and specific examples about the use of HPC technology in cancer applications, will provide the common basis for discussion in the BoF. To provide a rapid overview of the broad domain, presenters will provide insight into the various ways specific technologies are being used in cancer applications, while also presenting across a range of technologies used in specific cancer areas.
Discussions among attendees will be fostered initially on topics identified in the presentations, and expanding to topics of attendee interest. Time is reserved for individuals to meet and discuss individually following presentations and ensuing audience interactive discussions.
Key challenges and opportunities will be shared with all attendees.
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