In this talk we will look at how High Performance computing has changed over 
the last 10-year and look toward the future in terms of trends. A new 
generation of software libraries and algorithms are needed for the effective 
and reliable use of (wide area) dynamic, distributed and parallel environments.
 Some of the software and algorithm challenges have already been encountered, 
such as management of communication and memory hierarchies through a 
combination of compile--time and run--time techniques, but the increased scale
 of computation, depth of memory hierarchies, range of latencies, and increased
 run--time environment variability will make these problems much harder. Along
 these lines we will discuss work on the development of parameterizable and 
annotatable software libraries in the linear algebra area that will permit 
performance tuning for a broad range of architectures. Self Adapting Numerical
 Software (SANS) is a software effort that will automatically generate highly 
optimized numerical kernels for our high performance computers.