The near exponential growth in sequence data available to bioinformaticists, and the emergence of new fields of biological research, continue to fuel an incessant need for in- creases in sequence alignment performance. Today, more than ever before, bioinformatics researchers have access to a wide variety of HPC architectures including high core count Intel Xeon processors and the many-core Intel Xeon Phi.In this work, the implementation of a distributed, NCBI compliant, BLAST+ (C++ toolkit) code, targeted for multi- and many-core clusters, such as those containing the Intel Xeon Phi line of products is presented. The solution is robust: distributed BLAST runs can use the CPU only, the Xeon Phi processor or coprocessor, or both by utilizing the CPU or Xeon Phi processor plus a Xeon Phi coprocessor. The distributed BLAST implementation employs static load balancing, fault tolerance, and contention aware I/O. The distributed BLAST implementation, HPC-BLAST, maintains greater than 90% weak scaling efficiency on up to 160 Xeon Phi (Knights Landing) nodes.The source code and instructions, are available under the Apache License, Version 2.0 at https://github.com/UTennessee-JICS/HPC-BLAST.

An iterative method is presented for computed tomography imaging spectrometer (CTIS) image reconstruction in the presence of both photon noise in the image and postdetection Gaussian system noise. The new algorithm, which assumes the transfer matrix of the system has a particular structure, is evaluated experimentally with the result that it is significantly better, for larger problems, than both the multiplicative algebraic reconstruction technique (MART) and the mixed-expectation image-reconstruction technique (MERT) with respect to accuracy and computation time.

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