Abstract. Source code transformations are a very effective method of parallelizing and improving the efficiency of programs. Unfortunately most compiler systems require implementin...
This paper presents a compiler technique that reduces the energy consumption of the memory subsystem, for an off-chip partitioned memory architecture having multiple memory banks ...
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
This paper describes a scalable, low-complexity alternative to the conventional load/store queue (LSQ) for superscalar processors that execute load and store instructions speculat...