In the last decade, machine-learning-based compilation has moved from an obscure
research niche to a mainstream activity. In this paper, we describe the relationship between …

Benchmarking has become one of the most important methods for quantitative performance
evaluation of processor and computer system designs. Benchmarking of modern …

Recent high-level synthesis and accelerator-related architecture papers show a great
disparity in workload selection. To improve standardization within the accelerator research …

All major web browsers now support WebAssembly, a low-level bytecode intended to serve
as a compilation target for code written in languages like C and C++. A key goal of …

Information flow policies are confidentiality policies that control information leakage through
program execution. A common way to enforce secure information flow is through information …

The recently released Rodinia benchmark suite enables users to evaluate heterogeneous
systems including both accelerators, such as GPUs, and multicore CPUs. As Rodinia sees …

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 …

GPUs have become popular recently to accelerate general-purpose data-parallel
applications. However, most existing work has focused on GPU-friendly applications with …

Computer architecture simulation tools are essential for implementing and evaluating new
ideas in the domain and can be useful for understanding the behavior of programs and …

The PARSEC benchmark suite was recently released and has been adopted by a significant
number of users within a short amount of time. This new collection of workloads is not yet …