The Internet brings us access to multimedia databases with billions of data instances. The massive amount of data available to researchers and application developers brings both o...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
In this paper, we describe an algorithm and implementation of locality optimizations for architectures with instruction sets such as Intel’s SSE and Motorola’s AltiVec that su...
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
As the number of cores per machine increases, memory architectures are being redesigned to avoid bus contention and sustain higher throughput needs. The emergence of Non-Uniform M...