The writing of scientific software is often both tedious and error-prone, leading to long development cycles and unreliable software. To further complicate matters, development of efficient scientific software requires specialization, both to the hardware and the application at hand. However, manual labor may in many cases be replaced by automated code generation, ultimately leading to automated development of efficient scientific software. Current examples include automated generation of libraries for signal processing (SPIRAL) and linear algebra (FLAME, ATLAS), as well as generation of application-specific code for the solution of partial differential equations (FEniCS).
This symposium aims at bringing together experts on all aspects of automated computing, including, but not limited to:
We welcome participants to submit a title and short abstract to logg@simula.no. If accepted, participants must submit an extended abstract by July 1 2010. Do not forget to register to the conference and to book a room at the conference hotel. We are looking forward to see You at ICNAAM 2010.