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Chapter and Conference Paper
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
Total knee arthroplasty (TKA) is one of the most successful surgical procedures worldwide. It improves quality of life, mobility, and functionality for the vast majority of patients. However, a TKA surgery may...
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Chapter and Conference Paper
A Scalable Asynchronous Replication-Based Strategy for Fault Tolerant MPI Applications
As computational clusters increase in size, their mean-time-to-failure reduces. Typically checkpointing is used to minimize the loss of computation. Most checkpointing techniques, however, require a central st...
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Chapter and Conference Paper
Thread Migration/Checkpointing for Type-Unsafe C Programs
Thread migration/checkpointing is becoming indispensable for load balancing and fault tolerance in high performance computing applications, and its success depends on the migration/checkpointing-safety, which ...
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Chapter and Conference Paper
A Practical OpenMP Compiler for System on Chips
With the advent of modern System-on-Chip (SOC) design, the integration of multiple-processors into one die has become the trend. By far there are no standard programming paradigms for SOCs or heterogeneous chi...
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Chapter and Conference Paper
On Improving Thread Migration: Safety and Performance
Application-level migration schemes have been paid more attention recently because of their great potential for heterogeneous migration. But they are facing an obstacle that few migration-unsafe features in ce...
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Chapter and Conference Paper
A Fission Technique Enabling Parallelization of Imperfectly Nested Loops
This paper addresses the issue of parallelizing imperfectly nested loops. Current parallelizing compilers or transformations would either only parallelize the inner-most loop (which is more like vectorization ...
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Chapter and Conference Paper
Modeling Cone-Beam Tomographic Reconstruction Using LogSMP: An Extended LogP Model for Clusters of SMPs
The tomographic reconstruction for cone-beam geometries is a computationally intensive task requiring large memory and computational power to investigate interesting objects. The analysis of its parallel imple...