The performance modeling and analysis of disk arrays is challenging due to the presence of
multiple disks, large array caches, and sophisticated array controllers. Moreover, storage …

Stochastic gradient descent (SGD) is one of the most popular numerical algorithms used in
machine learning and other domains. Since this is likely to continue for the foreseeable …

Two techniques for producing synthetic address traces that produce good emulations of the
locality of reference of real programs are presented. The first algorithm generates synthetic …

Microprocessor-based systems today are composed of multi-core, multi-threaded
processors with complex cache hierarchies and gigabytes of main memory. Accurate …

Performance simulation tools must be validated during the design process as functional
models and early hardware are developed, so that designers can be sure of the …

Many embedded real world applications are intellectual property, and vendors hesitate to
share these proprietary applications with computer architects and designers. This poses a …

We generate and provide miniature synthetic benchmark clones for modern workloads to
solve two pre-silicon design challenges, namely: 1) huge simulation time (weeks to months) …

For decades, architects have designed cache replacement policies to reduce cache misses.
Since not all cache misses affect processor performance equally, researchers have also …

Data synchronization-long a staple in le systems-is emerging as a signicant communications
primitive. In a distributed system, data synchronization resolves di erences among …

Exploring the design space of the memory hierarchy requires the use of effective
methodologies, tools, and models to evaluate different parameter values. Reuse distance is …