We propose an architecture that allows code to execute in complete isolation from other software while trusting only a tiny software base that is orders of magnitude smaller than even minimalist virtual machine monitors. Our technique also enables more meaningful attestation than previous proposals, since only measurements of the security-sensitive portions of an application need to be included...

Achieving the performance potential of an Exascale machine depends on realizing both operational efficiency and scalability in high performance computing applications. This requirement has motivated the emergence of several new programming models which emphasize fine and medium grain task parallelism in order to address the aggravating effects of asynchrony at scale. The performance modeling of...

With High Performance Computing moving towards Exascale, where parallel applications will be required to run concurrently on millions of cores, every part of the computational model must perform ideally to achieve optimal performance. The task scheduler is one of such entities that could be enhanced to runtime application prerequisites. Not only the overheads associated with task scheduling var...

Wireless mobile grids are one of the emerging grid types, which help to pool the resources of several willing and cooperative mobile devices to resolve a computationally intensive task. The mobile grids exhibit stronger challenges like mobility management of devices, providing transparent access to grid resources, task management and handling of limited resources so that resources are shared ef...

This paper describes COLTHPF, an MPI{based run{time support for the coordination of concurrent and communicating HPF tasks. COLTHPF is conceived for use by a compiler of a high-level coordination language to structure a set of data-parallel HPF tasks according to popular forms of task-parallelism. Since it requires only small changes to the run-time support of the HPF compiler used, COLTHPF is ...

The coordination language Opus is an object-based extension of High Performance Fortran (HPF) that supports the integration of coarse-grain task parallelism with HPF-style data parallelism. In this paper we discuss Opus in the context of multidisciplinary applications (MDAs) which execute in a heterogeneous environment. After outlining the major properties of such applications and a number of d...

Human reward pursuit is often assumed to involve conscious processing of reward information. However, recent research revealed that reward cues enhance cognitive performance even when perceived without awareness. Building on this discovery, the present functional MRI study tested two hypotheses using a rewarded mental-rotation task. First, we examined whether subliminal rewards engage the ventr...

In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investigated assigning jobs based on availability or ex...

Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains. However, most previous works treat labels of each task as independent and meaningless onehot vectors, which cause a loss of potential information and makes it difficult for these models to jointly learn three or more tasks. In this paper, we prop...

This paper introduces COLTHPF, a run{time support for exploiting task parallelism within HPF programs, which can be employed by a compiler of a high-level coordination language to structure a set of data-parallel HPF tasks according to popular paradigms of task-parallelism. We use COLTHPF to program a computer vision application and report the results obtained by running the application on an S...