  I describe the performance of the CRBLASTER computational framework on a
350-MHz 49-core Maestro Development Board (MDB). The 49-core Interim Test Chip
(ITC) was developed by the U.S. Government and is based on the intellectual
property of the 64-core TILE64 processor of the Tilera Corporation. The Maestro
processor is intended for use in the high radiation environments found in
space; the ITC was fabricated using IBM 90-nm CMOS 9SF technology and
Radiation-Hardening-by-Design (RHDB) rules. CRBLASTER is a parallel-processing
cosmic-ray rejection application based on a simple computational framework that
uses the high-performance computing industry standard Message Passing Interface
(MPI) library. CRBLASTER was designed to be used by research scientists to
easily port image-analysis programs based on embarrassingly-parallel algorithms
to a parallel-processing environment such as a multi-node Beowulf cluster or
multi-core processors using MPI. I describe my experience of porting CRBLASTER
to the 64-core TILE64 processor, the Maestro simulator, and finally the 49-core
Maestro processor itself. Performance comparisons using the ITC are presented
between emulating all floating-point operations in software and doing all
floating point operations with hardware assist from an IEEE-754 compliant
Aurora FPU (floating point unit) that is attached to each of the 49 cores.
Benchmarking of the CRBLASTER computational framework using the
memory-intensive L.A.COSMIC cosmic ray rejection algorithm and a
computational-intensive Poisson noise generator reveal subtleties of the
Maestro hardware design. Lastly, I describe the importance of using real
scientific applications during the testing phase of next-generation computer
hardware; complex real-world scientific applications can stress hardware in
novel ways that may not necessarily be revealed while executing simple
applications or unit tests.

Instrumentation and Methods for Astrophysics;Distributed, Parallel, and Cluster Computing