Visual consumption, collective memory and the representation of war

Conceiving of the visual as a significant force in the production and dissemination of collective memory, we argue that a new genre of World War Two films has recently emerged that form part of a new discursive “regime of memory” about the war and those that fought and lived through it, constituting a commemoration as much about reflecting on the present as it is about remembering the past. First, we argue that these films seek to reaffirm a (particular conception of a) US national identity and military patriotism in the post–Cold War era by importing World War Two as the key meta‐narrative of America’s relationship to war in order to “correct” and help “erase” Vietnam’s more negative discursive rendering. Second, we argue that these films attempt to rewrite the history of World War Two by elevating and illuminating the role of the US at the expense of the Allies, further serving to reaffirm America’s position of political and military dominance in the current age, and third, that these films form part of a celebration of the generation that fought World War Two, which may accord them a position of nostalgic and sentimental greatness, as their collective spirit and notions of duty and service shine against the foil of what might frequently be seen as our own present moral ambivalence

The need for illness

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45466/1/11089_2005_Article_BF01845887.pd

Good English,

Mode of access: Internet

Automatic Partitioning of Large Scale Simulation in Grid Computing for Run Time Reduction

Simulating large-scale systems usually entails exhaustive computational powers and lengthy execution times. The goal of this research is to reduce execution time of large-scale simulations without sacrificing their accuracy by partitioning a monolithic model into multiple pieces automatically and executing them in a distributed computing environment. While this partitioning allows us to distribute required computational power to multiple computers, it creates a new challenge of synchronizing the partitioned models. In this article, a partitioning methodology based on a modified Prim’s algorithm is proposed to minimize the overall simulation execution time considering 1) internal computation in each of the partitioned models and 2) time synchronization between them. In addition, the authors seek to find the most advantageous number of partitioned models from the monolithic model by evaluating the tradeoff between reduced computations vs. increased time synchronization requirements. In this article, epoch- based synchronization is employed to synchronize logical times of the partitioned simulations, where an appropriate time interval is determined based on the off-line simulation analyses. A computational grid framework is employed for execution of the simulations partitioned by the proposed methodology. The experimental results reveal that the proposed approach reduces simulation execution time significantly while maintaining the accuracy as compared with the monolithic simulation execution approach