For the architecture community, reasonable simulation time is a strong requirement in
addition to performance data accuracy. However, emerging big data and AI workloads are …

Early design-space evaluation of computer-systems is usually performed using performance
models such as detailed simulators, RTL-based models etc. Unfortunately, it is very …

Fast and accurate design-space exploration is a critical requirement for enabling future
hardware designs. However, big-data applications are often complex targets to evaluate on …

Proxy applications are a simplified means for stake-holders to evaluate how both hardware
and software stacks might perform on the class of real applications that they are meant to …

Proxy applications, or proxies, are simple applications meant to exercise systems in a way
that mimics real applications (their parents). However, characterizing the relationship …

Leveraging a distributed key-value based caching layer has proven to be invaluable for
scalable data-intensive web applications. With the emergence of high-performance storage …

Block traces are widely used for system studies, model verifications, and design analyses in
both industry and academia. While such traces include detailed block access patterns …

The complexity and diversity of big data and AI workloads make understanding them difficult
and challenging. This paper proposes a new approachto modelling and characterizing big …

AI Applications uses various data science tools such as Jupyter notebook to prescribe a
series of steps, commonly referred as workflow, for building AI Solutions. The steps in …

With the growing amount of data, data processing workloads and the management of their
resource usage becomes increasingly important. Since managing a dedicated infrastructure …