In this paper we describe load scheduling, a novel method that balances load among register files by residual resources. Load scheduling can reduce register pressure for clustered...
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
A limiting factor in the performance of a rendering system is the number of state changes, i.e., changes of the attributes material, texture, shader program, etc., in the stream o...
This paper demonstrates a keyword match processor capable of performing fast dictionary search with approximate match capability. Using a content addressable memory with processor...
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...