{"responseHeader":{"status":0,"QTime":12,"params":{"q":"{!q.op=AND}id:\"92713\"","hl":"true","hl.simple.post":"","hl.fragsize":"5000","fq":"!embargo_tdt:[NOW TO *]","hl.fl":"ocr_t","hl.method":"unified","wt":"json","hl.simple.pre":""}},"response":{"numFound":1,"start":0,"docs":[{"modified_tdt":"2015-11-02T00:00:00Z","thumb_s":"/71/88/71880154fc2eb7ce1b009dd2da2a1cf2f383f1a5.jpg","oldid_t":"compsci 531","setname_s":"ir_computersa","file_s":"/20/d8/20d8e2e98723cea897b94059ccebcce53bcb7f00.pdf","title_t":"Page 32","ocr_t":"CHAPTER 4 WEATHER PREDICTION MODEL Many scientific problems have been solved by parallel algorithms. They include matrix computations[12], Fourier Transformation[16], and partial differential equations[28]. Consideration of adapted algorithms, problem environments, and characteristics of the problem should be included in writing efficient parallel programmings. Scientific problems can be characterized by several common factors, such as data parallelism, huge size of data, and task, since they deal with physical phenomena. In this chapter the characteristics of scientific parallel programming are briefly discussed in order to characterize a spectral numerical weather prediction model. The fundamental physical concepts of the spectral model are also described at the end. 4.1 Characteristics of Scientific Programming The characteristics of a problem can be a valuable clue in selecting an effective method to solve the problem. Fortunately many scientific problems have similar characteristics. Bergmark[5] grouped the characteristics of scientific computation from the parallel programming point of view as following. Data Parallelism : Data parallelism is widespread in scientific programs. Scientific computations are often repeated to run the same code on different pieces of the data. Naturally parallelism can be exploited easily in this structure.","restricted_i":0,"id":92713,"created_tdt":"2015-11-02T00:00:00Z","format_t":"application/pdf","parent_i":92762,"_version_":1642982584345427970}]},"highlighting":{"92713":{"ocr_t":[]}}}