"WE GOT 'EM!" the Wild announced on their Twitter account early Wednesday afternoon. Both players were regarded the cream of what was a thin free agent crop, and each had spent the past four days poring over numerous offers from several teams before making a decision. Parise leaves the New Jersey Devils, while Suter leaves the Nashville Predators in joining forces to take their talents far from South Beach, but instead to the Land of 1,000 Lakes Each player agreed to a 13 year contract, the team said Wednesday. Terms of the deals were not immediately announced, but each contact was expected to be in the $100 million range. Parise was the best forward on the market. He scored 31 goals and 69 points last season in his first year as the Devils' captain. He also chipped in with 15 points in helping the team's surprise run to the Stanley Cup finals, which ended in a six game series loss to Los Angeles. Drafted 17th overall by New Jersey in 2003, the 27 year old is from Minnesota and has 194 goals and 216 assists in 503 career games. He scored 30 plus goals five times. Suter, also 27, was the top defenseman available this summer. He spent all seven of his season in the NHL with the Predators after being selected with the seventh pick in the 2005 draft. The All Star defenseman had career highs in points last year, with 7 goals and 39 assists. Parise tried to explain why he needed more than a few days to announce his intentions, saying he was evaluating each team and city that was trying to sign him. Second tier free agents such as defenseman Matt Carle and forward Alexander Semin seemed to be waiting for Suter and Praise to reach agreements so that they could offer their talents to teams that didn't get a top target. The Detroit Red Wings were among the teams to take a run at both players, and were most interested in Suter as a player who could fill in after captain Nicklas Lidstrom retired. "We feel good about our offer to Suter and Parise on July 1, and with our chance to adjust our offer to Suter on July 2," Red Wings general manager Ken Holland said by phone. Holland said team owner Mike Ilitch and coach Mike Babcock joined him in making a presentation to Suter. He said they didn't have an opportunity to make a similar presentation to Parise. Air Jordan 5 Fear ,Air Jordan 4 Columbia 2015 Air Jordan 7 French Blue 2015 Air Jordan 2 Dark Concord Air Jordan 11 Low Concord Air Jordan 6 Black Infrared 2014 Air Jordan 8 Playoffs 2013 Air Jordan 10 Lady Liberty Air Jordan 5 Fire Red 2013 Air Jordan 4 Oreo 2015 Frankly, it's hard to keep up with the back and forth over education reforms, in general, and the A F grades, in particular. Every day brings a new statement, study, letter or some other form of endorsement or slam. All this comes even before the release of this year's grades. Education reform is hard. Fallin's frustration over the constant barrage of criticism over A F is understandable. The goal is simple enough: Help educators, families and communities better understand how schools are performing as a means to improvement. But the truth is that implementation hasn't been smooth. Each flub provides ammunition for critics. From technology issues with testing to the challenges in providing schools with accurate preliminary grades, hiccups make it increasingly difficult to believe proponents' assertion that the A F grades are simple and transparent. There's also that 30 page guide to understanding A F that could easily undermine the "simple and transparent" testimony. It's a sign of the increasingly divisive nature of politics in education that school leaders seek to exploit the implementation issues. That's disappointing, too. What is truly the value of letters home or PR campaigns heavy on why parents should ignore or at the very least discount the state's A F grading system? Those same letters are light on detail about what's happening to improve student achievement. Many educators also would have the public believe a study from researchers at the University of Oklahoma and Oklahoma State University highly critical of A F should put a definitive death knell in the report card system, but the study fell far short of that mark. Enid attorney is accused of fraud in fee dispute involving former Oklahoma insurance commissionerSocial justice groups join together to condemn Oklahoma lawmaker's anti Muslim comments. Air Jordan 5 Fear,There are many names for people who criticize to excess. Some are called nags, bossy, perfectionists, picky, and other terms of a more graphic and profane nature. Some people know they are critical and others never see it. This test will give you an objective way to test yourself. It is meant to be general, due to space considerations, but the results if you answer honestly can be quite enlightening. Answer YES or NO to the following: 70 100: People in this range are usually pretty critical and oftentimes have probably been called a "nag" or worse. If you are in this range, you are a person who wants what you want exactly when you want it. You probably have poor timing and little if any tact in communicating with people around issues where you are displeased or where you find some mistakes or fault. 40 60: People in this middle range are usually somewhat critical, but they are critical when there is some cause or when they know they are right and the criticism is justified, and also constructive. Sometimes however, these people don't pay as much attention to their own standards and practices as they do others. This can cause them to not get the respect and attention they want or deserve from others. 0 30: If you scored this low the chances are slim you would ever be called a nag or critical by your friends, your family, or your co workers. By anyone's standards (except someone scoring 70 100 on this test!) you would no doubt be seen as a very pleasant, accommodating, and understanding person. Again, any test I present here is going to be fairly general and simplistic, since I do not have room (and you probably do not have the time or patience) to give you a comprehensive multiple choice 50 100 question quiz or test. These short tests are accurate enough however, to show tendencies, problem areas, and general conclusions.
Where Are The Best Sites To Buy Authentic Air Jordan 5 Fear,Air Jordan 2 Dark Concord As the National Nuclear Security Administration's (NNSA's) Advanced Simulation and Computing (ASC) Program prepares to move into its second decade, the users of ASC's enormous computers also prepare to enter a new phase. Since its beginning in 1995, the ASC Program (originally the Accelerated Strategic Computing Initiative, or ASCI) has been driven by the need to analyze and predict the safety, reliability, and performance of the nation's nuclear weapons and certify their functionality all in the absence of nuclear weapons testing. To that end, Lawrence Livermore, Los Alamos, and Sandia national laboratories have worked with computer industry leaders such as IBM, Intel, SGI, and Hewlett Packard to bring the most advanced and powerful machines to reality. But hardware is only part of the story. The ASC Program also required the development of a computing infrastructure and scalable, high fidelity, three dimensional simulation codes to address issues related to stockpile stewardship. Most important, the laboratories had to provide proof of principle that users could someday have confidence in the results of the simulations when compared with data from legacy codes, past nuclear tests, and nonnuclear science experiments. Efforts are now successfully moving beyond that proof of principle phase, notes Randy Christensen, who leads program planning in the Defense and Nuclear Technologies (DNT) Directorate and is one of the founding members of the tri laboratory ASC Program. Christensen says, "With the codes, machines, and all the attendant infrastructure in order, we can now advance to the next phase and focus on improving the physics models in our codes to enhance our understanding of weapons behavior." Livermore's 12.3 teraops (trillion operations per second) ASC White machine and Los Alamos's 20 teraops ASC Q machine are in place, and the next systems in line are Sandia's 40 teraops ASC Red Storm and Livermore's 100 teraops ASC Purple. "In anticipation of ASC Purple in 2005, we are shifting our emphasis from developing parallel architecture machines and codes to improved weapons science and increased physics understanding of nuclear weapons," adds Christensen. "We are taking the next major step in the road we mapped out at the start of the program." "Ten years ago, we were focused on creating a new capability, and the program was viewed more as an experiment or an initiative," says Mike McCoy, acting leader for DNT's ASC Program. "Many skeptics feared that the three dimensional codes we were crafting, and the new machines we needed to run them on, would fail to be of use to the weapons program." These skeptics had three areas of concern: First, would the new three dimensional codes be useful? That is, would the code developers, working with other scientists, be able to develop new applications with the physics, dimensionality, resolution, and computational speed needed to take the next step in predictivity? Second, would the computers be reliable and work sufficiently well to grind through the incredibly complex and detailed calculations required in a world without underground nuclear testing? Third, would the supporting software infrastructure, or simulation environment, be able to handle the end to end computational and assessment processes? For that first decade, the program's primary focus was on designing codes and running prototype problems to address these concerns. "Sophisticated weapon simulation codes existed before the ASC and Stockpile Stewardship programs," says Christensen. "However, because of the limited computer power available, those codes were never expected to simulate all the fine points of an exploding nuclear weapon. When the results of these simulations didn't match the results of the underground tests, numerical 'knobs' were tweaked to make the simulation results better match the experiments. When underground nuclear testing was halted in 1992, we could no longer rely so heavily on tweaking those knobs." At the time that underground testing ceased and NNSA's Stockpile Stewardship Program was born, Livermore weapons scientists were depending on the (then) enormous machines developed by Seymour Cray. Cray designed several of the world's fastest vector architecture supercomputers and introduced closely coupled processors. "We had reached the limits on those types of systems," says McCoy, who is also a deputy associate director in the Computation Directorate. "From there, we ventured into scalar architecture and the massively parallel world of ASC supercomputers systems of thousands of processors, each with a large supply of local memory. We were looking at not only sheer capability which is the maximum processing power that can be applied to a single job but also price performance. We were moving away from specialized processors for parallel machines to commodity processor systems and aggregating enough memory at reasonable cost to address the new complexity and dimensionality." Not Just Computers and Codes: Making It All Work Designers and physicists in the tri laboratory (Livermore, Los Alamos, and Sandia national laboratories) Advanced Simulation and Computing (ASC) Program are now using codes and supercomputers to delve into regimes of physics heretofore impossible to reach. What made these amazing tools possible were the efforts of the computer scientists, mathematicians, and computational physicists who brought the machines and the codes to the point of deployment. It wasn't easy. Throughout the era of testing nuclear weapons, approximations were a given for the computations. When calculations produced unusual results, scientists assumed that lack of resolution or faithful replication of geometry or faithful physics models or some combination were the culprits. "It was assumed that, no matter how big the machines were at that time, this inaccuracy would remain a given," says Mike McCoy, deputy associate director of Livermore's Computation Directorate. "But this concern was greatly mitigated, because testing provided the 'ground truth' and the data necessary to calibrate the simulations through the intelligent use of tweaking 'knobs.'" When testing was halted, the nation's Stockpile Stewardship Program came into being. Scientists now needed to prove that computer simulation results could hold their own and provide valuable information, which could be combined with data from current experiments and from underground tests to generate the necessary insights. To bring such parity to computer simulations in the triumvirate of theory, experiment, and simulation, code designers had to address three concerns. First, could supercomputing hardware systems be built to perform the tasks? Second, could a workable simulation environment or support infrastructure be created for these systems? Third, could the mathematical algorithms used in the physics codes be scalable? The move to massively parallel processing supercomputers in the late 1980s was followed by the cessation of underground testing of nuclear devices in 1992 and the start of science based stockpile stewardship. The ASC Program required machines that could cost effectively run simulations at trillions of operations per second (teraops) and use the terabytes of memory needed to properly express the complexity of the physics being simulated. This requirement forced a jump to massively parallel processing supercomputers that were, above all, scalable. In other words, these machines needed to be able to run large problems across the entire system without bogging down from communication bottlenecks, which led to the development of high performance interconnects and the necessary software to manage these switches. Demands on hardware grew, and now the ASC Program at Livermore juggles three technology curves to ensure that users will have the machines they need today, tomorrow, and in the future. (See S June 2003, Riding the Waves of Supercomputing Technology.)The infrastructure has evolved in balance with the hardware. In 1999, for example, 2 terabytes of data from a three dimensional simulation might have taken 2 or 3 days to move to archival storage or to a visualization server. By the end of 2000, that journey took 4 hours. Today, those 2 terabytes can zip from computer to mass storage in about 30 minutes. Similar efficiency and performance improvements have occurred with compilers, debuggers, file systems, and data management tools as well as visualization and distance computing. Remote computing capabilities within the tri laboratory community are easily available to all sites. Designing Codes and Their Algorithms Over the past few years, the ASC Program has developed some very capable three dimensional codes and has maintained or further developed supporting science applications and two dimensional weapons codes. Because of the enormous size of the computers and their prodigious power consumption, notes McCoy, the applications themselves are generally ignored by the media in favor of headline producing computers. But if the truth were known, it is these codes and the people who build them, not the computers, that are the heart and soul of the ASC Program. "The computers come, and after a few years, they go," says McCoy. "But the codes and code teams endure." The greatest value of the ASC Program resides in these software assets, and this value is measured in billions of dollars. The backbone of these scientific applications is mathematical equations representing the physics and the numerical constructs to represent the equations. To address issues such as how to handle a billion linear and nonlinear equations with a billion unknowns, computational mathematicians and others created innovative linear solvers (S December 2003, Multigrid Solvers Do the Math Faster, More Efficiently) and Monte Carlo methods (S March 2004, Improved Algorithms Speed It Up for Codes) that allow the mathematics to "scale" in a reasonable manner. Thus, as the problem grows more complex, processors can be added to keep the solution time manageable. The challenge was to move into the world of massively parallel ASC systems in which thousands of processors may be working in concert on a problem. "First, we had to learn how to make these machines work at large scale," says McCoy. "At the same time, we were developing massively parallel multiphysics codes and finding a way to implement them on the new machines. It was a huge effort in every direction." As the machines matured, the codes matured as well. "We've entered the young adult years," says McCoy. "ASC White is running reliably in production mode, with a mean time to failure of a machine component measured in days, not hours or minutes. The proof of principle era is ending: The codes are deployed, the weapon designers increasingly are using these applications in major investigations, and this work is contributing directly to stockpile stewardship. With the upcoming 100 teraops ASC Purple, we believe that in many cases where we have good experimental data, numerical error will be sufficiently reduced to make it possible to detect where physics models need improvement. We have demonstrated the value of high resolution, three dimensional physics simulations and are now integrating that capability into the Stockpile Stewardship Program, as we work to improve that capability by enhancing physics models. The ASC Program is no longer an initiative, it's a permanent element of a tightly integrated program with a critical and unambiguously defined national security mission." Looking forward, Jim Rathkopf, an associate program leader for DNT's A Program, notes that with the arrival of Purple, codes will be able to use even higher resolution and better physics. "Higher resolution and better physics are required to reproduce the details of the different phases of a detonation and to determine the changes that occur in weapons as they age and their materials change over time." It's exciting times for scientists in the materials modeling world. The power of the terascale ASC machines and their codes is beginning to allow physicists to predict material behavior from first principles from knowing only the quantum mechanics of electrons and the forces between atoms. Earlier models, which were constrained by limited computing capabilities, had to rely on averages of material properties at a coarser scale than the actual physics demanded. Elaine Chandler, who manages the ASC Materials and Physics Models Program, explains, "We can now predict very accurately the elastic properties of some metals. We're close to having predictive models for plastic properties as well." Equation of state models are also moving from the descriptive to the predictive realm. It's possible to predict melt curves and phase boundaries from first principles and to predict changes in the arrangement of atoms from one crystalline structure to another. For example, scientists are running plasticity calculations to look at how tantalum moves and shears, then conducting experiments to see if their predictions are correct. Using this process, they can determine basic properties, such as yield strength. With the older descriptive modeling codes, scientists would run many experiments in differing regimes of temperature and pressure, then basically "connect the dots" to find out what a metal would do during an explosion. Now, they can perform the calculations that provide consistent information about the entire process. "It's a new world," says Chandler, "in which simulation results are trusted enough to take the place of physical experiments or, in some cases, lead to new experiments." In the future, ASC Purple and the pioneering BlueGene/L computer will contribute to this new world. BlueGene/L is a computational science research and evaluation machine that IBM will build in parallel with ASC Purple and deliver in 2005. According to Chandler, BlueGene/L should allow scientists to reach new levels of predictive capability for processes such as dislocation dynamics in metals, grain scale chemical reactions in high explosives, and mixing in gases. Chandler says some types of hydrodynamics and materials science calculations will be relatively straightforward to port to the BlueGene/L architecture, but others, particularly those involving quantum mechanical calculations, will require significant restructuring in order to use the architecture of this powerful machine. This is a challenge well worth the effort, because of the unprecedented computer power that BlueGene/L will offer to attack previously intractable problems. "Nearly a half century ago," adds Chandler, "scientists dreamed of a time when they could obtain a material's properties from simply knowing the atomic numbers of the elements and quantum mechanical principles. That dream eluded us because we lacked computers powerful enough to solve the complex calculations required. We are just now able to touch the edge of that dream, to reach the capabilities needed to make accurate predictions about material properties." Leaping from Milestone to Milestone With the birth of the Stockpile Stewardship Program (SSP), the need for better computer simulations became paramount to help ensure that the nation's nuclear weapons stockpile remained safe, reliable, and capable of meeting performance requirements. The tri laboratory (Livermore, Los Alamos, and Sandia national laboratories) Advanced Simulation and Computing (ASC) Program was created to provide the integrating simulation and modeling capabilities and technologies needed to combine new and old experimental data, past nuclear test data, and past design and engineering experience. The first decade was devoted to demonstrating the proof of principle of ASC machines and codes. As part of that effort, the program set up a number of milestones to "prove out" the complex machines and their advanced three dimensional physics codes. The first milestone, accomplished in December 1999 by Livermore researchers on the ASC Blue Pacific/Sky machine, was the first ever three dimensional simulation of an explosion of a nuclear weapon's primary (the nuclear trigger of a hydrogen bomb). The simulation ran a total of 492 hours on 1,000 processors and used 640,000 megabytes of memory in producing 6 million megabytes of data contained in 50,000 computer files. The second Livermore milestone, a three dimensional simulation of the secondary (thermonuclear) stage of a thermonuclear weapon, was accomplished in early 2001 on the ASC White machine the first time that White was used to meet a milestone. Livermore met a third milestone in late 2001, again using ASC White, coupling the primary and secondary in the first simulation of a full thermonuclear weapon. For this landmark simulation, the total run time was about 40 days of around the clock computing on over 1,000 processors. This simulation represented a major step toward deployment of the simulation capability. The quality was unusually high when compared to historic nuclear test data. A detailed examination of the simulation results revealed complex coupled processes that had never been seen. In 2001, ASC White was also used by a Los Alamos team to complete an independent full system milestone simulation. In December 2002, Livermore completed another milestone on ASC White when a series of two dimensional primary explosion calculations was performed. These simulations exercised new models intended to improve the physics fidelity and quantified the effect of increased spatial resolution on the accuracy of the results. The first production version of this code was also released at this time to users. Yet another Livermore team used ASC White to perform specialized three dimensional simulations of a critical phase in the operation of a full thermonuclear weapon. 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