A bootstrap approach to model checking for linear models by Ojeda J.L., Cristobal J.A. PDF

By Ojeda J.L., Cristobal J.A.

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W. Hwu CPU thread in that area. For example, in the Scalable Simulation Framework programming model, a CPU thread executes each of its assigned logical threads, jumping to the code specified by each in turn. Logical threads that specify suspension points must be instrumented to save local state and return execution to the point at which the logical thread was suspended. Taking advantage of CUDA’s SPMD programming model and control-flow restrictions, MCUDA uses a less complex execution framework based on iteration within the originally threaded code itself.

The hand-tuned MRI-FHD implementation uses hand-vectorized SSE instructions across logical threads, whereas ICC vectorizes the innermost loop of the algorithm, seemingly with a minor reduction in efficiency. Future work should consider specifically targeting the thread loops for vectorization, and test the efficiency of such a transformation. 5 Related Work With the initial release of the CUDA programming model, NVIDIA also released a toolset for GPU emulation [1]. However, the emulation framework was designed for debugging rather than for performance.

The Cache Unused List is a double-linked list which contains all the cache line descriptor no longer in use. Other cache parameters include parameters such as the Cache Directory Hash Mask, a mask used by the cache directory to associate a global base address with its specific linked list. 2 High-Locality Cache Operational Model The operational model for the High Locality Cache is composed of all the operations that execute upon the cache structures and implement the primitive operations shown in Figure 1, namely lookup, placement, communication, synchronization and consistency mechanisms.

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A bootstrap approach to model checking for linear models under length-biased data by Ojeda J.L., Cristobal J.A.


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