The Experts below are selected from a list of 9348 Experts worldwide ranked by ideXlab platform

Akihiko Konagaya - One of the best experts on this subject based on the ideXlab platform.

  • Improving the Research Environment of High Performance Computing for Non-Cluster Experts Based on Knoppix Instant Computing Technology
    2020
    Co-Authors: Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Yusuke Hamano, Shuichi Fukuda, Akihiko Konagaya
    Abstract:

    Abstract. We have designed and implemented a new portable system that can rapidly construct a Computer environment where highthroughput research applications can be performed instantly. One challenge in the instant computing area is constructing a cluster system instantly, and then readily restoring it to its former state. This paper presents an approach for instant computing using Knoppix technology that can allow even a non-Computer Specialist to easily construct and operate a Beowulf cluster . In the present bio-research field, there is now an urgent need to address the nagging problem posed by having highperformance Computers. Therefore, we were assigned the task of proposing a way to build an environment where a cluster Computer system can be instantly set up. Through such research, we believe that the technology can be expected to accelerate scientific research. However, when employing this technology in bio-research, a capacity barrier exists when selecting a clustered Knoppix system for a data-driven bioinformatics application. We have approached ways to overcome said barrier by using a virtual integrated RAM-DISK to adapt to a parallel file system. To show an actual example using a reference application, we have chosen InterProScan, which is an integrated application prepared by the European Bioinformatics Institute (EBI) that utilizes many database and scan methods. InterProScan is capable of scaling workload with local computational resources, though biology researchers and even bioinformatics researchers find such extensions difficult to set up. We have achieved the purpose of allowing even researchers who are non-cluster experts to easily build a system of "Knoppix for the InterProScan4.1 High Throughput Computing Edition." The system we developed is capable of not only constructing a cluster Computer environment composed of 32 Computers in about ten minutes (as opposed to six hours when done manually), but also restoring the original environment by rebooting the pre-existing operating system. The goal of our instant cluster computing is to provide an environment in which any target application can be built instantly from anywhere

Joseph M Mccollum - One of the best experts on this subject based on the ideXlab platform.

  • honeycombing the icosahedron and icosahedroning the sphere
    In: Reams Gregory A.; McRoberts Ronald E.; Van Deusen Paul C. eds. 2001. Proceedings of the second annual Forest Inventory and Analysis symposium; 200, 2001
    Co-Authors: Joseph M Mccollum
    Abstract:

    This paper is an attempt to trace the theoretical foundations of the Forest Inventory and Analysis and Forest Health Monitoring hexagon networks. It is important in case one might desire to alter the intensity of the grid or lay down a new grid in Puerto Rico and the U.S. Virgin Islands, for instance. The network comes from tessellating an icosahedron with hexagons and projecting those hexagons to a sphere. The paper proposes a sample network for Puerto Rico and the U.S. Virgin Islands. 1 Paper presented at the Second Annual Forest Inventory and Analysis (FIA) Symposium, Salt Lake City, UT, October 17–18, 2000. 2 Computer Specialist, USDA Forest Service, Forest Inventory and Analysis, Southern Research Station, Asheville, NC 28804. INTRODUCTION Pardon the title; it is bad grammatical form to verb a noun. It is also geometrically impossible to square the circle using classical means. There will always be a few chords from the circle left over. Using the method that follows, one will find that it is impossible to completely tessellate a sphere with regular hexagons. There will be twelve pentagons left over. Historically, Forest Inventory and Analysis (FIA) plots in the American South have been laid out on a square grid or no grid at all—that is, haphazardly. Forest Health Monitoring (FHM) plots have been laid out on a hexagon network. Hexagons, squares, and triangles tile the plane (or any study area on earth). Carr and others (1999) list a set of criteria for global grid cells that argue in favor of hexagons; among other things, hexagons provide maximum area for minimum perimeter. The astrophysicist Max Tegmark (1996) listed similar criteria and built a similar grid for the sky. In geometry, squaring the circle means attempting to rearrange a circle to form a square; and in this paper, honeycombing an icosahedron is attempting to fit a honeycomb pattern on top of an icosahedron. To accomplish this task, start with an unfolded icosahedron, as shown in figure 1. Ultimately, this icosahedron shall be projected to the sphere of the earth, as shown in figure 2. An icosahedron is a geometric solid with 20 faces, all of which are equilateral triangles. Throughout this paper, the “poles” of the icosahedron will be points at the very top and very bottom of the unfolded solid. The “cuts” will be those line segments connected to the poles, and the “ends” of the “cuts” will be the points at which the cuts join. A similar method will work with an octahedron, but the icosahedron approximates a sphere better than any other platonic solid. Tesselate each face with nine triangles. Take six of the triangles from one face to form a hexagon. There will be three triangles on each face that ultimately form parts of pentagons. The result is a solid with 32 faces, 20 of which are hexagons and 12 of which are pentagons. Geometers Figure 1—Icosahedron tessellated with hexagons.

Fumikazu Konishi - One of the best experts on this subject based on the ideXlab platform.

  • Improving the Research Environment of High Performance Computing for Non-Cluster Experts Based on Knoppix Instant Computing Technology
    2020
    Co-Authors: Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Yusuke Hamano, Shuichi Fukuda, Akihiko Konagaya
    Abstract:

    Abstract. We have designed and implemented a new portable system that can rapidly construct a Computer environment where highthroughput research applications can be performed instantly. One challenge in the instant computing area is constructing a cluster system instantly, and then readily restoring it to its former state. This paper presents an approach for instant computing using Knoppix technology that can allow even a non-Computer Specialist to easily construct and operate a Beowulf cluster . In the present bio-research field, there is now an urgent need to address the nagging problem posed by having highperformance Computers. Therefore, we were assigned the task of proposing a way to build an environment where a cluster Computer system can be instantly set up. Through such research, we believe that the technology can be expected to accelerate scientific research. However, when employing this technology in bio-research, a capacity barrier exists when selecting a clustered Knoppix system for a data-driven bioinformatics application. We have approached ways to overcome said barrier by using a virtual integrated RAM-DISK to adapt to a parallel file system. To show an actual example using a reference application, we have chosen InterProScan, which is an integrated application prepared by the European Bioinformatics Institute (EBI) that utilizes many database and scan methods. InterProScan is capable of scaling workload with local computational resources, though biology researchers and even bioinformatics researchers find such extensions difficult to set up. We have achieved the purpose of allowing even researchers who are non-cluster experts to easily build a system of "Knoppix for the InterProScan4.1 High Throughput Computing Edition." The system we developed is capable of not only constructing a cluster Computer environment composed of 32 Computers in about ten minutes (as opposed to six hours when done manually), but also restoring the original environment by rebooting the pre-existing operating system. The goal of our instant cluster computing is to provide an environment in which any target application can be built instantly from anywhere

Manabu Ishii - One of the best experts on this subject based on the ideXlab platform.

  • Improving the Research Environment of High Performance Computing for Non-Cluster Experts Based on Knoppix Instant Computing Technology
    2020
    Co-Authors: Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Yusuke Hamano, Shuichi Fukuda, Akihiko Konagaya
    Abstract:

    Abstract. We have designed and implemented a new portable system that can rapidly construct a Computer environment where highthroughput research applications can be performed instantly. One challenge in the instant computing area is constructing a cluster system instantly, and then readily restoring it to its former state. This paper presents an approach for instant computing using Knoppix technology that can allow even a non-Computer Specialist to easily construct and operate a Beowulf cluster . In the present bio-research field, there is now an urgent need to address the nagging problem posed by having highperformance Computers. Therefore, we were assigned the task of proposing a way to build an environment where a cluster Computer system can be instantly set up. Through such research, we believe that the technology can be expected to accelerate scientific research. However, when employing this technology in bio-research, a capacity barrier exists when selecting a clustered Knoppix system for a data-driven bioinformatics application. We have approached ways to overcome said barrier by using a virtual integrated RAM-DISK to adapt to a parallel file system. To show an actual example using a reference application, we have chosen InterProScan, which is an integrated application prepared by the European Bioinformatics Institute (EBI) that utilizes many database and scan methods. InterProScan is capable of scaling workload with local computational resources, though biology researchers and even bioinformatics researchers find such extensions difficult to set up. We have achieved the purpose of allowing even researchers who are non-cluster experts to easily build a system of "Knoppix for the InterProScan4.1 High Throughput Computing Edition." The system we developed is capable of not only constructing a cluster Computer environment composed of 32 Computers in about ten minutes (as opposed to six hours when done manually), but also restoring the original environment by rebooting the pre-existing operating system. The goal of our instant cluster computing is to provide an environment in which any target application can be built instantly from anywhere

Shingo Ohki - One of the best experts on this subject based on the ideXlab platform.

  • Improving the Research Environment of High Performance Computing for Non-Cluster Experts Based on Knoppix Instant Computing Technology
    2020
    Co-Authors: Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Yusuke Hamano, Shuichi Fukuda, Akihiko Konagaya
    Abstract:

    Abstract. We have designed and implemented a new portable system that can rapidly construct a Computer environment where highthroughput research applications can be performed instantly. One challenge in the instant computing area is constructing a cluster system instantly, and then readily restoring it to its former state. This paper presents an approach for instant computing using Knoppix technology that can allow even a non-Computer Specialist to easily construct and operate a Beowulf cluster . In the present bio-research field, there is now an urgent need to address the nagging problem posed by having highperformance Computers. Therefore, we were assigned the task of proposing a way to build an environment where a cluster Computer system can be instantly set up. Through such research, we believe that the technology can be expected to accelerate scientific research. However, when employing this technology in bio-research, a capacity barrier exists when selecting a clustered Knoppix system for a data-driven bioinformatics application. We have approached ways to overcome said barrier by using a virtual integrated RAM-DISK to adapt to a parallel file system. To show an actual example using a reference application, we have chosen InterProScan, which is an integrated application prepared by the European Bioinformatics Institute (EBI) that utilizes many database and scan methods. InterProScan is capable of scaling workload with local computational resources, though biology researchers and even bioinformatics researchers find such extensions difficult to set up. We have achieved the purpose of allowing even researchers who are non-cluster experts to easily build a system of "Knoppix for the InterProScan4.1 High Throughput Computing Edition." The system we developed is capable of not only constructing a cluster Computer environment composed of 32 Computers in about ten minutes (as opposed to six hours when done manually), but also restoring the original environment by rebooting the pre-existing operating system. The goal of our instant cluster computing is to provide an environment in which any target application can be built instantly from anywhere