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Techniques and algorithms for efficient in-place conversion to and from standard and blocked matrix storage formats are described. Such functionality is required by numerical libraries that use different data layouts internally. Parallel algorithms and a software package for in-place matrix storage format conversion based on in-place matrix transposition(More)
Three structural motifs in the invariant chain (li) control the intracellular transport of class II major histocompatibility complex molecules. An endoplasmic reticulum retention signal in the full-length li suggests a role for li in the alpha-beta heterodimer assembly. Another signal motif directs a truncated li, alone or associated with individual class(More)
Consider a house cleaning robot planning its activities for the day. Assume that the robot expects the human inhabitant to first dress, then have breakfast, and finally go out. Then, it should plan not to clean the bedroom while the human is dressing, and to clean the kitchen after the human has had breakfast. In general, robots operating in inhabited(More)
Professional antigen-presenting cells (APCs) have a distinct compartment in which class II molecules are proposed to acquire antigenic peptides. Genetic evidence suggests that human leukocyte antigen (HLA)-DM, an unusual class II molecule, participates in this process. Peptide acquisition was reconstituted in nonprofessional APCs by transfection of class(More)
We present three algorithms for Cholesky factorization using minimum block storage for a distributed memory (DM) environment. One of the distributed square blocked packed (SBP) format algorithms performs similar to ScaLAPACK PDPOTRF, and with iteration overlapping outperforms it by as much as 67%. By storing the blocks in a standard contiguous way, we get(More)
We address the issue of human-robot cohabitation in smart environments. In particular, the presence of humans in a robot's work space has a profound influence on how the latter should plan its actions. We propose the use of Human-Aware Planning, an approach in which the robot exploits the capabilities of a sensor-rich environment to obtain information about(More)