Search Results

In many fields including aerospace, automotive, and telecommunications, MathWorks’ MATLAB/Simulink is contemporary standard for model-based design. The strengths of Simulink are rapid design and algorithm exploration. Models created with Simulink ...

Minimizing energy consumption, as well as meeting real-time and reliability constraints, are major goals during system deployment. When complex platforms, such as multicore architectures with DVFS, and parallel applications are ...

Given the complexity and wide range of applications being developed for the Internet of Things (IoT) requiring an efficient mapping of application tasks in hardware resources, especially embedded systems, it is necessary to address the problem of ...

With the rapid development of heterogeneous multi-core processors, a new High Performance Computing (HPC) system architecture combining the heterogeneous multi-core architecture and NUMA architecture will emerge in the future. However, existing ...

The Task Mapping Problem (TMP) of a Real-Time Application (RTA) onto a Many-/Multi-Processor System-on-a-Chip (MPSoC) with a Network-on-a-Chip (NoC) as on-chip communication architecture can be tackled as an optimization problem to ...

We introduce a new model for the task mapping problem to aid in the systematic design of algorithms for heterogeneous systems including, but not limited to, CPUs, GPUs and FPGAs. A special focus is set on the communication between the devices, its ...

Streaming applications come from various application fields such as physics, where data is continuously generated and must be processed on the fly. Typical streaming applications have a series-parallel dependence graph, and they are ...

• Minimizing the energy consumption of series-parallel streaming applications.
• ...

On multicore platforms, reliable task execution, as well as low energy consumption, are essential. Dynamic Voltage/Frequency Scaling (DVFS) is typically used for energy savings, but with a negative impact on reliability, especially when the ...

Nanophotonics as a promising candidate for future on-chip networks has several benefits such as bandwidth transparency, light-speed data rate and low power consumption. Despite significant features of optical on-chip data transmission, ...

Heterogeneous cluster-based multi/many-core platforms are on the edge, delivering high computing and energy-efficient embedded systems. These platforms support Dynamic Voltage/Frequency Scaling (DVFS), allowing to change the voltage/...

Efficient mapping of application communication patterns to the network topology is a critical problem for optimizing the performance of communication bound applications on parallel computing systems. The problem has been extensively studied in the past, ...

Deep neural networks are widely used in many artificial intelligence applications. They have demonstrated state-of-the-art accuracy on many artificial intelligence tasks. For this high accuracy to occur, deep neural networks require the right parameter ...

An efficient task execution on multicore platforms can lead to low energy consumption. To achieve that, an Integer Non-Linear Programming (INLP) formulation is proposed that performs task mapping by jointly addressing task allocation, task ...

The rate of transient faults has increased significantly as the technology scales up. The tolerance of transient faults has become an important issue in the system design. Dual modular redundancy (DMR) and triple modular redundancy (TMR) are two ...

Network-On-Chip (NoC) platforms were proposed to increase system performance in current and future generations of Multi-Processor System-on-Chip ranging from a few cores to hundreds. For such platforms, efficient mechanisms to perform ...

Communication between tasks and load imbalance have been identified as a major challenge for the performance and energy efficiency of parallel applications. A common way to improve communication is to increase its locality, that is, to reduce the ...

Previous task mapping assumes that applications directly fetch data on remote nodes and build up their energy efficient mapping based on pattern of the NoC traffic. However, the data movement is actually managed by a cache coherence ...

In the embedded computer system domain, MPSoC systems have become increasingly popular due to the ever-increasing performance demands of modern embedded applications. The number of processing elements in these MPSoCs also steadily increases. Whereas ...

As the number of processor cores increases and the core size shrinks, chip temperature has become a critical design issue for Network-on-Chip (NoC) based many-core systems. However, few task mapping methods consider temperature optimization, and even ...

Energy consumption is an increasingly important concern in data centers. Today, nearly half of the energy in data centers is consumed by the cooling infrastructure. Existing policies on thermally-aware workload allocation do not consider applications ...