This report presents a new architecture based on addding a vector pipeline to a superscalar microprocessor. The goal of this paper is to show that instruction-level parallelism (ILP) and data-level parallelism (DLP) can be merged in a single architecture to execute regular vectorizable code at a performance level that can not be achieved using only ILP techniques. We present an analysis of the ...

We investigate solving discrete optimization problems using the ‘estimation of distribution’ (EDA) approach via a novel combination of deep belief networks (DBN) and inductive logic programming (ILP). While DBNs are used to learn the structure of successively ‘better’ feasible solutions, ILP enables the incorporation of domain-based background knowledge related to the goodness of solutions. Rec...

This paper presents an integer linear programming (ILP) model for cyclic scheduling of tasks with unit processing time. Our work is motivated by digital signal processing (DSP) applications on FPGA (Field-Programmable Gate Array) architectures hosting several kinds of identical arithmetic units. These hardware resources can be formalized as dedicated sets of parallel identical processors. We pr...

Laser polishing (LP) is an effective method to improve the surface quality of additively manufactured nickel-based alloy. In this paper, in-situ laser (ILP) experiment performed on selective melting (SLM) IN718 samples. The white light interferometer used test three-dimensional profile and roughness results show that as-SLMed samples by ILP improved. particular, decreased 33.5%. To reveal mecha...

This paper addresses the problem of data mining in Inductive Logic Programming (ILP) motivated by its application in the domain of economics. ILP systems have been largely applied to data mining classification tasks with a considerable success. The use of ILP systems in regression tasks has been far less successful. Current systems have very limited numerical reasoning capabilities, which limit...

| In this paper we review previous work on the applicability and performance of Integrated Layer Processing (ILP). ILP has been shown to clearly improve performance when integrating simple functions, but the situation has been less clear for more complex functions and complete systems. We discuss complications when applying ILP to protocol stacks, the requirements of ILP on the communication su...

A nonlinear mathematical model was developed and experimentally validated to investigate the effects of changes in optical properties during interstitial laser photocoagulation (ILP). The effects of dynamic optical properties were calculated using the Arrhenius damage model, resulting in a nonlinear optothermal response. This response was experimentally validated by measuring the temperature ri...

Today, many general-purpose register-file (GPRF) architectures implement instructionlevel-parallelism (ILP) techniques to improve performance. Less has been done in this area for the so-called ‘stack architecture’. Nonetheless, stack architectures have many advantages over GPRF architectures. Applying ILP techniques in the stack processor domain might ultimately achieve similar, or better, perf...

interlanguage pragmatics (ilp) has witnessed a growing body of research in the past two decades. one of the under-explored domains of l2 pragmatics is the role of learning strategies specifically tailored for the development of ilp knowledge. therefore, this investigation aimed to determine the significant interlanguage pragmatic learning strategies (ipls) used by high vs. low l2 pragmatic achi...

We present a novel two-stage technique for detecting speech disfluencies based on Integer Linear Programming (ILP). In the first stage we use state-of-the-art models for speech disfluency detection, in particular, hidden-event language models, maximum entropy models and conditional random fields. During testing each model proposes possible disfluency labels which are then assessed in the presen...