The manycore revolution can be characterized by increasing thread counts, decreasing
memory per thread, and diversity of continually evolving manycore architectures. High …

Taskflow aims to streamline the building of parallel and heterogeneous applications using a
lightweight task graph-based approach. Taskflow introduces an expressive task graph …

This paper presents Personal Data Lake, a unified storage facility for storing, analyzing and
querying personal data. A data lake stores data regardless of format and thus provides an …

The computation of two-electron repulsion integrals (ERIs) is often the most expensive step
of integral-direct self-consistent field methods. Formally it scales as O (N 4), where N is the …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

In this paper we present a design methodology for algorithm/architecture co-design of a
voltage-scalable, process variation aware motion estimator based on significance driven …

Task graph programming model (TGPM) has become central to a wide range of scientific
computing applications because it enables top-down optimization of parallelism that …

A challenge that heterogeneous system programmers face is leveraging the performance of
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …

Heterogeneous architectures have experienced a great development thanks to their
excellent cost/performance ratio and low power consumption. But heterogeneity significantly …

Heterogeneous systems have become one of the most common architectures today, thanks
to their excellent performance and energy consumption. However, due to their heterogeneity …