By Wolfgang Gentzsch (auth.), Dan Grigoras, Alex Nicolau, Bernard Toursel, Bertil Folliot (eds.)
Started via small workforce of renowned scientists with the purpose of sharing wisdom, stories, and effects on all elements of cluster computing, the initiative of a workshop on cluster computing got extra recognition after IFIP WG 10.3 and IEEE Romania part authorised our request for sponsorship. in addition, the appliance for a NATO ARW provide used to be profitable, resulting in a better curiosity within the workshop. during this recognize, we need to say that we selected Romania so that it will allure scientists from critical and jap ecu international locations and enhance the cooperation within the sector, within the box of cluster computing. We had a very few minutes to prepare the development, yet many folks joined us and enthusiastically contributed to the method. The good fortune of the workshop is fully because of the labor of the organizing committee, participants of this system committee, key audio system, audio system from undefined, and authors of permitted papers. The workshop consisted of invited and general paper shows, through discussions, on many very important present and rising subject matters starting from sheduling and cargo balancing to grids. the major audio system dedicated their time and efforts to featuring the main attention-grabbing result of their examine teams, and all of us thank them for this . All papers have been peer reviewed by means of or 3 reviewers.
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Additional resources for Advanced Environments, Tools, and Applications for Cluster Computing: NATO Advanced Research Workshop, IWCC 2001 Mangalia, Romania, September 1–6, 2001 Revised Papers
The first question is what is a good distributed algorithm ? Following, we present some considerations about the independence of the execution platform and then about data distribution and sharing. The next section deals with synchronous versus asynchronous DPs and the last two are concerned with the choice of the parallelism degree and the possibilities offered by speculative works and hybridation in DPs. D. Grigoras et al. ): IWCC 2001, LNCS 2326, pp. 36-46, 2002. © Springer-Verlag Berlin Heidelberg 2002 About Design and Efficiency of Distributed Programming 2 37 Sequential /Distributed Programs A sequential algorithm execution may be viewed as a repetition of steps.
It is a scheme-like interactive virtual machine that is able to modify dynamically its own primitives and instructions sets. This dynamic ﬂexibility provides the RVM with the ability to adapt/extend itself at runtime and thus turns itself into a virtual machine dedicated to a given application domain, without loosing its ﬂexibility. Beyond Flexibility and Reﬂection 19 Not only can the language of the virtual machine be extended at runtime by adding instructions or primitives, but it can also be adapted to some domain-speciﬁc semantics, by adding user-level extension from classes and inheritance (which do not exist in traditional lisp-like languages) to semaphores or lightweight processes.
In the previous approach, the global program is slowed down both by the initial distribution of the data base and the synchronization phase needed for the distribution. We can overcome these points by introducing more asynchronism by using a multithreaded pipe-lined approach (fig. 5). The fragmentation-distribution phase is transformed into a pipe-line phase using three threads : the first one (block read thread) reads successive data blocks from the disk ; each block is then fragmented (by a block fragmentation thread) and as soon as a fragment block is full, it is sent to a processor (block distribution thread).
Advanced Environments, Tools, and Applications for Cluster Computing: NATO Advanced Research Workshop, IWCC 2001 Mangalia, Romania, September 1–6, 2001 Revised Papers by Wolfgang Gentzsch (auth.), Dan Grigoras, Alex Nicolau, Bernard Toursel, Bertil Folliot (eds.)