Abstract
Field-Programmable Gate Arrays (FPGAs) are able to provide hardware accelerators still maintaining the required programmability. However, the advantages of using FPGAs still depend on the expertise of developers and their knowledge of Hardware Description Languages (HDLs). Although High-level Synthesis (HLS) tools have been developed in order to minimize this problem, they commonly present solutions considered many times inefficient when compared to the ones achieved by a specialized hardware designer. Domain-specific languages (DSLs) can provide alternative solutions to program FPGAs. They can provide higher abstraction levels than HDLs and they may allow the programmer to tune implementations whenever HLS tools are unable to generate efficient designs. In this paper we compare a DSL, named LALP (Language for Aggressive Loop Pipelining), with two typical HLS approaches and show the experimental results achieved in each case. The results show that the use of LALP provides superior performance than the achieved by the HLS tools in most cases.

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In the Container Loading Problem literature, the cargo dynamic stability constraint has been evaluated by the percentage of boxes with insufficient lateral support. This metric has been used as a proxy for the real-world dynamic stability constraint and has conditioned the algorithms developed for this problem. It has the advantage of not being expensive from a computation perspective. However, guaranteeing that at least three sides of a box are in contact with another box or with the container wall does not necessarily ensure stability during transportation. In this paper we propose a physics simulation tool based on a physics engine that will be used in the evaluation of the dynamic stability constraint. We compare the results of our physics simulation tool with the state-of-the-art simulation engineering software Abaqus Unified FEA, and conclude that our tool is a promising alternative.

Abstract
This paper analyses distinct methods to represent a polygon through circle covering, which satisfy specific requirements, that impact primarily the feasibility and the quality of the layout of final solution. The trade-off between the quality of the polygonal representation and its derived number of circles is also discussed, showing the impact on the resolution of the problem, in terms of computational efficiency. The approach used to tackle the Nesting problem in strip packing uses a Non-Linear Programming model. Addressing these problems allows to tackle real world problems with continuous rotations. © IFAC.

Abstract
The graphical quality of modern videogames are the result of a steep evolution of hardware over the last two decades, but the game controls that are part of mainstream gaming did not change much in the same time period. To change this, biofeedback techniques using physiological sensors are being studied as possible replacements for traditional videogame interaction devices. In this paper, we continue on-going research by introducing unimodal and, for the first time, multimodal biofeedback game mechanics aiming at enhanced depth and expanded game design possibilities. We developed a First-Person Shooter to test these concepts against traditional unimodal mechanisms, and conducted an empirical study with 32 players. Both unimodal and multimodal variants provided high levels of fun to players, with subtle differences suggesting that these types are best leveraged depending on the interaction context on which they are applied.