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Operation scheduling (OS) is a fundamental problem in mapping an application to a computational device. It takes a behavioral application specification and produces a schedule to minimize either the completion time or the computing resources required to meet a given deadline. The OS problem is NP-hard; thus, effective heuristic methods are necessary to(More)
Modern digital systems consist of a complex mix of computational resources, e.g. microprocessors, memory elements and reconfigurable logic. System partitioning – the division of application tasks onto the system resources – plays an important role for the optimization of the latency, area, power and other performance metrics. This paper presents a novel(More)
An essential problem for hardware/software codesign is the partitioning of an application onto the computational resources. This paper presents a novel approach for the task level resource partitioning problem. Our approach is based on the Ant System algorithm , a meta-heuristic method inspired by the study of the behaviors of ants. In our algorithm, a(More)
The flexibility, performance and cost effectiveness of programmable platforms have lead to their widespread use for embedded applications. The partitioning of an application tasks onto the different computational cores of a platform is an important step in the mapping of embedded applications onto these systems. This paper presents a novel approach for this(More)
Wireless networks are making the vision of ubiquitous computing a reality: users will be able to connect anytime and anywhere from anything. To achieve this vision, the next generation of wireless devices must learn about, and adapt to, the transmission environment through a process called channel estimation. In this paper, we describe a cross-cutting(More)
Instruction scheduling is a fundamental step for mapping an application to a computational device. It takes a behavioral application specification and produces a schedule for the instructions onto a collection of processing units. The objective is to minimize the completion time of the given application while effectively utilizing the computational(More)
Design space exploration during high-level synthesis is often conducted through ad hoc probing of the solution space using some scheduling algorithm. This is not only time consuming but also very dependent on designer's experience. We propose a novel design exploration method that exploits the duality of time- and resource-constrained scheduling problems.(More)
High level synthesis transformations play a major part in shaping the properties of the final circuit. However, most optimizations are performed without much knowledge of the final circuit layout. In this paper, we present a physically aware design flow for mapping high level application specifications to a synthesizable register transfer level hardware(More)
Modern reconfigurable computing systems feature powerful hybrid architectures with multiple microprocessor cores, large reconfigurable logic arrays and distributed memory hierarchies. Mapping applications to these complex systems requires a representation that allows both hardware and software synthesis. Additionally, this representation must enable(More)
Modern, high performance configurable architectures integrate on-chip, distributed block RAM modules to provide ample data storage. Synthesizing applications to these complex systems requires an effective and efficient approach to conduct data partitioning and storage assignment. In this paper, we present a data and iteration space partitioning solution(More)