Important Resources

Research Papers

• Cache Oblivious Algorithms By Matteo Frigo, et. al.
• TR564: Guaranteed Optimization: Proving Nullspace Properties of Compilers By Todd Veldhuizen and Andrew Lumsdaine
• TR542: Techniques for Scientific C++ By Todd Veldhuizen
• The Matrix Template Library: A Generic Programming Approach to High Performance Numerical Linear Algebra By Jeremy Siek and Andrew Lumsdaine
• FFTW: An Adaptive Software Architecture For The FFT By Matteo Frigo and Steven Johnson
• A Fast Fourier Transform Compiler By Matteo Frigo
• Portable High-Performance Programs, Matteo Frigo's PhD dissertation.
• Localizing Non-affine Array References by N. Mitchell, L. Carter, and J. Ferrante
• Compiling Parallel Code for Sparse Matrix Applications by V. Kotlyar, K. Pingali, and P. Stodghill
• Next-generation Generic Programming and its Application to Sparse Matrix Computations by N. Mateev, K. Pingali, P. Stodghill, and V. Kotlyar
• Adaptive Precision Floating-Point Arithmetic and Fast Robust Geometric Predicates by J. Shewchuk
• Nearest neighbor algorithms for load balancing in parallel computers by C. Xu, B. Monien, et. al.

Research Project Web Sites

• The Matrix Template Library
• The Cilk Project