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Many control applications in real-time cyber-physical systems are represented as Directed Acyclic Graphs (DAGs) due to complex interactions among their functional components, and executed on distributed heterogeneous platforms. Data communication between ...

Taking a good decision about the assignment of each job becomes crucial in the era of hybrid and heterogeneous computing systems, such as personal machines equipped with CPUs and GPUs, or HPC platforms composed of multiple generations of ...$\mathrm{}\mathrm{}\sqrt{\mathrm{}}$$\mathrm{}$$\mathrm{}$

To meet application-specific performance demands, recent embedded platforms often involve the use of intricate micro-architectural designs and very small feature sizes leading to complex chips with multi-million gates. Such ultra-high gate densities often ...

OpenCL1 allows a programmer to offload a sequence of commands to a heterogeneous accelerator, such as a GPU. For embedded devices the overhead of building a command sequence can be expensive, and many applications require the same pipeline of commands to ...

The problem of scheduling Directed Acyclic Graphs (DAGs) in order to minimize schedule length (also known as makespan), is known to be a challenging as well as computationally hard problem. Therefore, researchers have endeavored towards the design of ...

The problem of scheduling Directed Acyclic Graphs in order to minimize makespan (schedule length), is known to be a challenging and computationally hard problem. Therefore, researchers have endeavored towards the design of various heuristic solution ...

Low energy consumption and high reliability are widely identified as increasingly relevant issues in real-time systems on heterogeneous platforms. In this paper, we propose a multi-criteria optimization strategy to minimize the expected energy ...

Today's computer systems have become increasingly heterogeneous. Data centers integrate accelerators, CPUs with heterogeneous cores and with various ISAs which exhibit different performance and power characteristics. Mobile phones, following a similar ...

Heterogeneous parallel platforms, comprising multiple processing units and architectures, have become a cornerstone in improving the overall performance and energy efficiency of scientific and engineering applications. Nevertheless, taking full ...

In this paper, we design and analyze strategies to replicate the execution of an application on two different platforms subject to failures, using checkpointing on a shared stable storage. We derive the optimal pattern size~$W$ for a periodic ...

In climate change studies, the atmospheric model is an essential component for building a high-resolution climate simulation system. While the accuracy of atmospheric simulations has long been limited by the computational capabilities of CPU platforms, ...

In this paper we advocate the Loop-of-stencil-reduce pattern as a way to simplify the parallel programming of heterogeneous platforms (multicore+GPUs). Loop-of-Stencil-reduce is general enough to subsume map, reduce, map-reduce, stencil, stencil-reduce, ...

Massively parallel architectures are mainly based on a parallel heterogeneous setup, they are composed by different computing devices that speedup specific code region named kernel. These kernels are executed offline in the corresponding devices. ...

In this paper we advocate the Loop-of-stencil-reduce pattern as a way to simplify the parallel programming of heterogeneous platforms (multicore+GPUs). Loop-of-Stencil-reduce is general enough to subsume map, reduce, map-reduce, stencil, stencil-reduce, ...

Massively parallel architectures are mainly based on a parallel heterogeneous setup, they are composed by different computing devices that speedup specific code region named kernel. These kernels are executed offline in the corresponding devices. ...

Heterogeneous platforms integrating different types of processing units (such as multi-core CPUs and GPUs) are in high demand in high performance computing. Existing studies have shown that using heterogeneous platforms can improve application ...

This paper presents HeteroVisor, a heterogeneity-aware hypervisor, that exploits resource heterogeneity to enhance the elasticity of cloud systems. Introducing the notion of 'elasticity' (E) states, HeteroVisor permits applications to manage their ...

Although GPUs are considered ideal to accelerate massively data-parallel applications, there are still exceptions to this rule. For example, imbalanced applications cannot be efficiently processed by GPUs: despite the massive data parallelism, a varied ...

Hierarchical level of heterogeneity exists in many modern high performance clusters in the form of heterogeneity between computing nodes, and within a node with the addition of specialized accelerators, such as GPUs. To achieve high performance of ...

ScalaPipe is a streaming application generator for heterogeneous platforms. By using a collection of domain-specific languages (DSLs) embedded in the Scala programming language, ScalaPipe allows creation of streaming applications that can run on a ...