Compile-time composition of run-time data and iteration reorderings

Many important applications, such as those using sparse data structures, have memory reference patterns that are unknown at compile-time. Prior work has developed runtime reorderings of data and computation that enhance locality in such applications. This paper presents a compile-time framework that allows the explicit composition of run-time data and iterationreordering transformations. Our framework builds on the iteration-reordering framework of Kelly and Pugh to represent the effects of a given composition. To motivate our extension, we show that new compositions of run-time reordering transformations can result in better performance on three benchmarks. We show how to express a number of run-time data and iteration-reordering transformations that focus on improving data locality. We also describe the space of possible run-time reordering transformations and how existing transformations fit within it. Since sparse tiling techniques are included in our framework, they become more...

• Type: Conference
• Year: 2003
• Where: PLDI
• Authors: Michelle Mills Strout, Larry Carter, Jeanne Ferrante
• Keywords: PLDI 2003, Programming Languages, Reordering Transformations, Run-time Data, Run-time Reordering Transformations