"... In PAGE 4: ...6 Table 2. Problem Statistics Model 1 Model 2 Pt Rows Cols 0/1 Vars Rows Cols 0/1 Vars 1 4398 4568 4568 4398 4568 170 2 4546 4738 4738 4546 4738 192 3 3030 3128 3128 3030 3128 98 4 2774 2921 2921 2774 2921 147 5 5732 5957 5957 5732 5957 225 6 5728 5978 5978 5728 5978 250 7 2538 2658 2658 2538 2658 120 8 3506 3695 3695 3506 3695 189 9 2616 2777 2777 2616 2777 161 10 1680 1758 1758 1680 1758 78 11 5628 5848 5848 5628 5848 220 12 3484 3644 3644 3484 3644 160 13 3700 3833 3833 3700 3833 133 14 4220 4436 4436 4220 4436 216 15 2234 2330 2330 2234 2330 96 16 3823 3949 3949 3823 3949 126 17 4222 4362 4362 4222 4362 140 18 2612 2747 2747 2612 2747 135 19 2400 2484 2484 2400 2484 84 20 2298 2406 2406 2298 2406 108 Table3 a. Solution Statistics for Model 1 (Maximization) Pt Initial First Heuristic Best Best LP Obj.... In PAGE 5: ...) list the elapsed time when the heuristic procedure is first called and the objective value corresponding to the feasible integer solution returned by the heuristic. For Table3 a, the columns Best LP Obj. and Best IP Obj.... In PAGE 5: ... report, respectively, the LP objective bound corresponding to the best node in the remaining branch-and-bound tree and the incumbent objective value corresponding to the best integer feasible solution upon termination of the solution process (10,000 CPU seconds). In Table3 b, the columns Optimal IP Obj., bb nodes, and Elapsed Time report, respectively, the optimal IP objective value, the total number of branch-and-bound tree nodes solved, and the total elapsed time for the solution process.... ..."

"... In PAGE 8: ... The results show that the Boolean approach reduces the number of matching algorithm calls, nd smaller area circuits in better CPU time, and reduces the initial network graph because generic 2-input base function are used. Table2 presents a comparison between SIS and Land for the library 44-2.genlib, which is distributed with the SIS package.... ..."

"... In PAGE 4: ...able 4: Assessment of the software solutions........................................................ 32 Table5 : Focus of the mining process .... In PAGE 38: ...38 definition of web usage analysis can called e-business analysis . Table5 shows the focus of the mining process in web usage analysis and e-business analysis. ... ..."

"... In PAGE 4: ... This higher level organization of our knowledge about functions allows for the integration of biological information about the functions of gene products represented by probes on the array. Pathways: The class Pathways ( Table2 ) is an attempt to capture the interactions and/or connections between gene products and compress this information into 48 known meta- bolic and regulatory pathways or cellular processes. This class provides a categorization of pathways and cellular processes that may be involved in stressful responses and disease state or may be impaired as a result of them.... In PAGE 5: ...metabolism; formation of the extracellular matrix; catecholamine metabolism; respiratory chain; lipid metabolism; membrane transport; vesicular trafficking; urea cycle; trafficking between nucleus and cytoplasm; protein and amino acid metabolism; purine, pyrimidine and pyridine metabolism; iron homeostasis; sulfur metabolism, melatonin synthesis; steroid hormone metabolism 243 Biodegradation of xenobiotics Phase II metabolism of xenobiotics; phase I metabolism of xenobiotics; other processes related to detoxification; ubiquitin pathway 206 Cell growth and death Protein repair and chaperoning; tumorigenic transformations; angiogenesis; apoptosis; necrosis; ras/raf/MEK/ERK pathway; p38 pathway; p53 pathway JNK/SAPK pathway 422 Signal transduction and cell communication Signal transduction; cell communication 91 DNA replication and repair DNA replication; DNA repair 48 Immune and inflammatory responses Immune response; inflammatory response 121 Antioxidation Glutathione metabolism; oxidative metabolism of xenobiotics; peroxisome proliferation 151 Structural components Cell junctions; cytoskeleton; proteasome structure; peroxisome structure; ribosome structure 38 Unknown Unknown ESTs 276 The number of probes on the RT U34 GeneChip assigned to each entity is indicated. Pathways Group: The class Pathways Group separates entities of the class Pathways into larger-categories based on similar properties relating to biological processes ( Table2 ). Entit- ies in the class Pathways Group provide logical connections between biological processes presented by this class to stress response.... ..."

"... In PAGE 27: ...Visualization of Process Flows in Hospital Information Systems Frieda Kaiser Page 27 monitoring the updating of processes (see Table1 ). Various visualization techniques can be used to support various of these activities including, more specifically, what tasks have been completed, which tasks are still outstanding, and which tasks will still have to be completed in the future (see Table 2).... ..."

"... In PAGE 23: ...DETERMINANTS OF THE PATHWAYS A multinomial logit model was used to investigate the determinants of the pathways ( Table3 ). The results (together with the descriptive statistics discussed above) imply that different determining and conditioning factors are critical for different pathways.... ..."

"... In PAGE 7: ...Table4 : Industrial HPCC Applications 1 to 5: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 1 Computational PDE, FEM SIMD, MIMD for Fluid Dynamics Turbulence irregular adaptive Aerospace Mesh Generation HPF(+) but Military, Civilian Unclear for Vehicles adaptive irregular Propulsion mesh 2 Structural PDE, FEM MIMD as complex Dynamics Dominated by geometry Vendor Codes such HPF(+) as NASTRAN 3 Electromagnetic PDE solved by Simulation moment method SIMD Antenna Design Matrix solve HPF Stealth Vehicles dominates Noise in high Newer FEM and SIMD, MIMD frequency circuits FD Methods? HPF(+) Mobile Phones Also fast multipole 4 Scheduling Expert Systems MIMD Manufacturing and/or (unclear Speedup) Transportation AsyncSoft (Dairy delivery to Neural Networks SIMD Military deployment) Simulated annealing HPF University Classes Linear Programming MIMD Airline Scheduling (hard sparse matrix) HPF+? of crews, planes in static or dynamic (Syracuse snow storm) cases 5 Environmental PDE, FD, FEM SIMD but Modeling| Sensitivity to MIMD for Earth/Ocean/Atmos- Data irregular adaptive pheric Simulation mesh HPF(+) except this unclear for adaptive irregular mesh... In PAGE 8: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Phenomenology Monte Carlo and MIMD more |Complex Systems, Histograms natural (Lead Concentration HPF in blood) 7 Basic Chemistry Calculate Matrix Probably SIMD Chemical Potentials Elements with perhaps Elemental Reaction Matrix Eigenvalue SIMD possible Dynamics determination, HPF Inversion, Multiplication 8 Molecular Dynamics Particle Dynamics HPF(+) except in Physics amp; Chemistry with irregular need MPF for Biochemistry cuto forces fast multipole Discrete Simulation Fast Multipole Monte Carlo for Methods CFD (DSMC) Mix of PDE and Particle in the Cell Particle methods (PIC) in PIC and DSMC 9 Economic Modelling Single nancial Real Time instrument by SIMD, HPF Optimization Monte Carlo Mortgaged backed Full Simulations MIMD or SIMD Securities of complete with Integration Option Pricing portfolios Software 10 Network Simulations Sparse matrices MIMD Electrical Circuit Zero structure HPF for matrix Microwave and VLSI de ned by elements Biological (neural) connectivity MPF or library Circuit for matrix solve... In PAGE 9: ...Table4 : Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 11 Particle Transport Monte Carlo Methods Problems as in neutron MIMD transport for (nuclear) HPF explosion simulations 12 Graphics (rendering) HPF for simple ray Hollywood Several Operational tracing but MPF Virtual Reality Parallel Ray tracers for best algorithms Distributed model MIMD amp; Asyncsoft hard for distributed database 13 Integrated Complex Event Driven Timewarp or other System Simulations (ED) and Event Driven Defense (SIMNET, Time stepped Simulation needs Flight Simulators) (TS) simulations Appropriate Education Virtual Reality Asyncsoft (SIMCITY) Interfaces Integration Multimedia/VR in Database backends Software Entertainment Interactive Database Multiuser Virtual HPF+ for TS Worlds Simulation Chemical and Nuclear Plants... In PAGE 11: ...Table4 : Industrial HPCC Applications 19 to 22 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand Application Problem Machine amp; Item Area Comments Structure Software 19 Transaction Database-most Embarrassingly MIMD Processing transactions short. Parallel Database ATM As add \value quot; (automatic this becomes teller machine) Informationintegration 20 Collaboration Research Center or Asynchronous High Speed Telemedicine doctor(s)|patient Network Collaboratory interaction without for Research regard to physical Education location Business 21 Text on Multimedia Embarrassingly MIMD Demand database Parallel Database Digital (existing) (see areas 22, 23) libraries Full text search ERIC Education database, United Nations- Worldwide newspapers 22 Video on Multimedia Embarrassingly MIMD Demand Database Parallel for Database Movies, News Interactive VCR, multiple Users Video Editing (CNN Newsource Video Browsing, Software amp; Newsroom), Link of Interesting Current cable, video and text parallel United Nations- database compression SIMD Policy Support compression... In PAGE 12: ...Table4 : Industrial HPCC Applications 23 to 24 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand Application Problem Machine amp; Item Area Comments Structure Software 23 Imagery on Multimedia Metaproblem MIMD but Demand database Embarrassingly much SIMD Kodak GIODE Image Parallel plus image \clip art quot; on Understanding for Loosely analysis demand Content searching Synchronous Medical images and (terrain) Image Satellite images medical feature Understanding identi cation 24 Simulation on Multimedia map Synchronous SIMD terrain Demand database terrain engine (parallel Education, Generalized rendering with rendering) Tourism, City ight simulator Asynchronous MIMD planning, Geographical Hypermedia database Defense Information Integration mission planning System software... In PAGE 13: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, analysis, Access and Dissemination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Sometimes Called System of Systems 25: Military and Civilian Command and Control (C2, C3, C4I : : :) Battle Management, Command, Control, Communication, Intelligence and Surveillance (BMC3IS) Military Decision Support Crisis Management|Police and other Government Operations SIMNET simulates this and with people and computers in the loop has many of same issues 26 to 28: Applications of InfoVision Services Generalize Compuserve, Prodigy, America Online, Dialog and Other In- formation Services 26: Decision Support for Society Community Information Systems Travel and Generalized Yellow Page Services 27: Business Decision Support|One example is: Health Care with Image and Video databases supporting telemedicine 28: Public Administration and Political Decision Support Government Information Systems Maxwell School at Syracuse University teaches use of realtime video to aid world wide decisions (United Nations)... In PAGE 14: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering Combines CAD with Applications 1 to 3 Requires major changes to Manufacturing Infrastructure and Approach 33: Education InfoMall Living Textbook|6 Schools on ATM network linked to HPCC InfoVision Servers at NPAC [Mills:95a] Table 1 describes the general guidelines used in organizing Table 4.... In PAGE 14: ... 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering Combines CAD with Applications 1 to 3 Requires major changes to Manufacturing Infrastructure and Approach 33: Education InfoMall Living Textbook|6 Schools on ATM network linked to HPCC InfoVision Servers at NPAC [Mills:95a] Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 14: ... Here, \Info quot; refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. Algorithmic and other comments are in column two.... In PAGE 15: ... Our Caltech work was mainly on the hypercube, but the total of 300 references used in original classi cation covered work on the Butter y, transputers, the SIMD Connection Machine, and DAP. We originally iden- ti ed three temporal structures and one especially important (as it was so simple) spatial structure, which are the rst four entries in Table4 . Chap- ter 3 of [Fox:94a] describes a \complex systems quot; approach to computation and introduces the spatial and temporal structure of problems and comput- ers.... In PAGE 16: ... This is important in determing the performance, as shown in Chapter 3 of [Fox:94a] of an implementation, but it does not a ect the broad software issues discussed here. In Table4 , we only single out one special spatial structure, \embarrassingly parallel, quot; where there is little or no connection between the individual parallel program components. For embarrassingly parallel problems, illustrated in Figure 4, the synchronization (both soft- ware and hardware) issues are greatly simpli ed.... In PAGE 23: ... Each asynchronous task is now a synchronous or loosely synchronous mod- estly parallel evaluation of a given chess position. There were a few examples mentioned above of metaproblems in our orig- inal survey, but a major part of Table4 , from our New York State activity,... In PAGE 34: ...4 Summary Each of three case studies illustrates how di erent applications and di erent numerical approaches to a given problem, lead to very di erent problem architectures and correspondingly the needed software support. Although our discussion is not complete, we do think that it is quite typical, and that a similar situation is seen in the other applications of Table4 , and summarized in the last two columns.... ..."

"... In PAGE 8: ...Table4 : Industrial HPCC Applications 1 to 5: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 1 Computational PDE, FEM SIMD, MIMD for Fluid Dynamics Turbulence irregular adaptive Aerospace Mesh Generation HPF(+) but Military, Civilian Unclear for Vehicles adaptive irregular Propulsion mesh 2 Structural PDE, FEM MIMD as complex Dynamics Dominated by geometry Vendor Codes such HPF(+) as NASTRAN 3 Electromagnetic PDE solved by Simulation moment method SIMD Antenna Design Matrix solve HPF Stealth Vehicles dominates Noise in high Newer FEM and SIMD, MIMD frequency circuits FD Methods? HPF(+) Mobile Phones Also fast multipole 4 Scheduling Expert Systems MIMD Manufacturing and/or (unclear Speedup) Transportation AsyncSoft (Dairy delivery to Neural Networks SIMD Military deployment) Simulated annealing HPF University Classes Linear Programming MIMD Airline Scheduling (hard sparse matrix) HPF+? of crews, planes in static or dynamic (Syracuse snow storm) cases 5 Environmental PDE, FD, FEM SIMD but Modeling| Sensitivity to MIMD for Earth/Ocean/Atmos- Data irregular adaptive pheric Simulation mesh HPF(+) except this unclear for adaptive irregular mesh... In PAGE 9: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Phenomenology Monte Carlo and MIMD more |Complex Systems, Histograms natural (Lead Concentration HPF in blood) 7 Basic Chemistry Calculate Matrix Probably SIMD Chemical Potentials Elements with perhaps Elemental Reaction Matrix Eigenvalue SIMD possible Dynamics determination, HPF Inversion, Multiplication 8 Molecular Dynamics Particle Dynamics HPF(+) except in Physics amp; Chemistry with irregular need MPF for Biochemistry cuto forces fast multipole Discrete Simulation Fast Multipole Monte Carlo for Methods CFD (DSMC) Mix of PDE and Particle in the Cell Particle methods (PIC) in PIC and DSMC 9 Economic Modelling Single nancial Real Time instrument by SIMD, HPF Optimization Monte Carlo Mortgaged backed Full Simulations MIMD or SIMD Securities of complete with Integration Option Pricing portfolios Software 10 Network Simulations Sparse matrices MIMD Electrical Circuit Zero structure HPF for matrix Microwave and VLSI de ned by elements Biological (neural) connectivity MPF or library Circuit for matrix solve... In PAGE 10: ...Table4 : Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 11 Particle Transport Monte Carlo Methods Problems as in neutron MIMD transport for (nuclear) HPF explosion simulations 12 Graphics (rendering) HPF for simple ray Hollywood Several Operational tracing but MPF Virtual Reality Parallel Ray tracers for best algorithms Distributed model MIMD amp; Asyncsoft hard for distributed database 13 Integrated Complex Event Driven Timewarp or other System Simulations (ED) and Event Driven Defense (SIMNET, Time stepped Simulation needs Flight Simulators) (TS) simulations Appropriate Education Virtual Reality Asyncsoft (SIMCITY) Interfaces Integration Multimedia/VR in Database backends Software Entertainment Interactive Database Multiuser Virtual HPF+ for TS Worlds Simulation Chemical and Nuclear Plants... In PAGE 12: ...Table4 : Industrial HPCC Applications 19 to 22 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand Application Problem Machine amp; Item Area Comments Structure Software 19 Transaction Database-most Embarrassingly MIMD Processing transactions short. Parallel Database ATM As add \value quot; (automatic this becomes teller machine) Informationintegration 20 Collaboration Research Center or Asynchronous High Speed Telemedicine doctor(s)|patient Network Collaboratory interaction without for Research regard to physical Education location Business 21 Text on Multimedia Embarrassingly MIMD Demand database Parallel Database Digital (existing) (see areas 22, 23) libraries Full text search ERIC Education database, United Nations- Worldwide newspapers 22 Video on Multimedia Embarrassingly MIMD Demand Database Parallel for Database Movies, News Interactive VCR, multiple Users Video Editing (CNN Newsource Video Browsing, Software amp; Newsroom), Link of Interesting Current cable, video and text parallel United Nations- database compression SIMD Policy Support compression... In PAGE 13: ...Table4 : Industrial HPCC Applications 23 to 24 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand Application Problem Machine amp; Item Area Comments Structure Software 23 Imagery on Multimedia Metaproblem MIMD but Demand database Embarrassingly much SIMD Kodak GIODE Image Parallel plus image \clip art quot; on Understanding for Loosely analysis demand Content searching Synchronous Medical images and (terrain) Image Satellite images medical feature Understanding identi cation 24 Simulation on Multimedia map Synchronous SIMD terrain Demand database terrain engine (parallel Education, Generalized rendering with rendering) Tourism, City ight simulator Asynchronous MIMD planning, Geographical Hypermedia database Defense Information Integration mission planning System software... In PAGE 14: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, analysis, Access and Dissemination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Sometimes Called System of Systems 25: Military and Civilian Command and Control (C2, C3, C4I : : :) Battle Management, Command, Control, Communication, Intelligence and Surveillance (BMC3IS) Military Decision Support Crisis Management|Police and other Government Operations SIMNET simulates this and with people and computers in the loop has many of same issues 26 to 28: Applications of InfoVision Services Generalize Compuserve, Prodigy, America Online, Dialog and Other In- formation Services 26: Decision Support for Society Community Information Systems Travel and Generalized Yellow Page Services 27: Business Decision Support|One example is: Health Care with Image and Video databases supporting telemedicine 28: Public Administration and Political Decision Support Government Information Systems Maxwell School at Syracuse University teaches use of realtime video to aid world wide decisions (United Nations)... In PAGE 15: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering Combines CAD with Applications 1 to 3 Requires major changes to Manufacturing Infrastructure and Approach 33: Education InfoMall Living Textbook|6 Schools on ATM network linked to HPCC InfoVision Servers at NPAC [Mills:95a] Table 1 describes the general guidelines used in organizing Table 4.... In PAGE 15: ... 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering Combines CAD with Applications 1 to 3 Requires major changes to Manufacturing Infrastructure and Approach 33: Education InfoMall Living Textbook|6 Schools on ATM network linked to HPCC InfoVision Servers at NPAC [Mills:95a] Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 15: ... Here, \Info quot; refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. Algorithmic and other comments are in column two.... In PAGE 16: ... Our Caltech work was mainly on the hypercube, but the total of 300 references used in original classi cation covered work on the Butter y, transputers, the SIMD Connection Machine, and DAP. We originally iden- ti ed three temporal structures and one especially important (as it was so simple) spatial structure, which are the rst four entries in Table4 . Chap- ter 3 of [Fox:94a] describes a \complex systems quot; approach to computation and introduces the spatial and temporal structure of problems and comput- ers.... In PAGE 17: ... This is important in determing the performance, as shown in Chapter 3 of [Fox:94a] of an implementation, but it does not a ect the broad software issues discussed here. In Table4 , we only single out one special spatial structure, \embarrassingly parallel, quot; where there is little or no connection between the individual parallel program components. For embarrassingly parallel problems, illustrated in Figure 4, the synchronization (both soft- ware and hardware) issues are greatly simpli ed.... In PAGE 24: ... Each asynchronous task is now a synchronous or loosely synchronous mod- estly parallel evaluation of a given chess position. There were a few examples mentioned above of metaproblems in our orig- inal survey, but a major part of Table4 , from our New York State activity,... In PAGE 35: ...4 Summary Each of three case studies illustrates how di erent applications and di erent numerical approaches to a given problem, lead to very di erent problem architectures and correspondingly the needed software support. Although our discussion is not complete, we do think that it is quite typical, and that a similar situation is seen in the other applications of Table4 , and summarized in the last two columns.... ..."