Optimal Compilation of HPF Remappings

Applications with varying array access patterns require to dynamically change array mappings on distributed-memory parallel machines. (High Performance Fortran) provides such remappings explicitly through and directives and implicitly at procedure calls and returns. However, such features are left out of 2.0 for efficiency reasons. This paper presents a new technique for compiling remappings onto message-passing parallel architectures. First, useless remappings that appear naturally are removed. Second, the generated code takes advantage of replication to shorten the remapping time. Communication is proved optimal: a minimal number of messages, containing only the required data, is sent over the network. The technique is fully implemented in our compiler and was experimented on a Alpha farm.     

Deconstructing the Potency and Cell-Line Selectivity of Membranolytic Anticancer Peptides**

Current cancer treatments damage healthy cells and tissues, causing short-term and long-term side effects. New treatments are desired that show greater selectivity toward cancer cells and evade the common mechanisms of multidrug resistance. Membranolytic anticancer peptides (mACPs) hold promise against cancer and multidrug resistance. Amphipathicity, hydrophobicity, and net charge of mACPs participate in their respective interactions with cell membranes and their overall inhibition of cancer cells. To support the design of cell-line selective mACPs, we investigated the relationships that amino acid composition, physicochemical properties, sequence motifs, and sequence homology could have with their potency and selectivity towards several healthy and cancer cell lines. Sequence length and net charge are known to affect the selectivity of mACPs between cancer and healthy cell lines. Our study reveals that increasing the net charge or flexibility (i. e., small and aliphatic residues) influences their selectivity between cancer cell lines with comparable lipid compositions.