Compilation and Code Optimization for Data Analytics

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Artificial Intelligence (AI) techniques are considered the most advanced approaches for diagnosing faults in power transformers. Dissolved Gas Analysis (DGA) is the conventional approach widely adopted for diagnosing incipient faults in power transformers. ...

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training. We argue that instabilities in the optimization process are often caused by the nonmonotonicity of the loss lan ...

SiliFish is an open-source desktop application tomodel and study zebrafish swimming. Here, we explain how to define the general parameters of the model, define cell populations, place them within the spinal cord, and define their projections. We explain ho ...

Modern computing systems are so energy- intensive to make efficient cooling vital for their operation. This is giving rise to a variety of innovative cooling solutions based on a mix of traditional and new techniques. The design and engineering of these so ...

In Process Systems Engineering, computationally-demanding models are frequent and plentiful. Handling such complexity in an optimization framework in a fast and reliable way is essential, not only for generating meaningful solutions but also for providing ...

Mainstream approaches to design spatial architectural forms that are structurally relevant consist either in adapting well-known and catalogued conventional types or in searching for close-to-optimum solutions of well-defined problems. Few means exist to e ...

With Moore's law coming to an end, increasingly more hope is being put in specialized hardware implemented on reconfigurable architectures such as Field-Programmable Gate Arrays (FPGAs). Yet, it is often neglected that these architectures themselves experi ...

There are various possibilities to realize coil winding designs for an inductive power transfer system. In order to achieve high power transfer efficiency and power density and explore trade-offs between the two, design optimization around the coil link is ...

Dataflow programming is a methodology that enables the development of high-level, parametric programs that are independent of the underlying platform. This approach is particularly useful for heterogeneous platforms, as it eliminates the need to rewrite ap ...

A metaprogrammer should be able to reason about the semantics of the generated code. Multi-stage programming introduced an elegant and powerful solution to this problem. It follows a semantically driven approach to code generation, where semantics are full ...

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Ther ...

Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...

Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...

Compilation and Code Optimization for Data Analytics

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Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

Stable Nonconvex-Nonconcave Training via Linear Interpolation

SiliFish: A desktop application to model swimming behavior in developing zebrafish (Danio rerio)

Object-oriented modelling of advanced computer cooling solutions

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Structural topology exploration through policy-based generation of equilibrium representations

Automating the Design of Programmable Interconnect for Reconfigurable Architectures

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems

Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System

Scalable Metaprogramming in Scala 3

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

Demand-based operations of vehicle sharing systems

Rebooting Virtual Memory with Midgard