Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading Petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. Topics of interest include novel scientific algorithms that improve scalability, porting scientific algorithms and applications to many-core structures, and more. Read more at http://www.csm.ornl.gov/srt/conferences/Scala/2016/