USSR: An UltraSound Sparse Regularization framework

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In this article, we present a parallel prioritized Jacobian-based inverse kinematics algorithm for multithreaded architectures. We solve damped least squares inverse kinematics using a parallel line search by identifying and sampling critical input paramet ...

Ultrasound (US) imaging is currently living a revolution. On the one hand, ultrafast US imaging, a novel way of acquiring and producing US images, has paved the way to several advanced imaging modes, e.g. shear-wave elastography, ultrafast Doppler imaging ...

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, database sys ...

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The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of special purpose VLSI implementatio ...

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The scale of modern datasets necessitates the development of efficient distributed optimization methods for machine learning. We present a general-purpose framework for distributed computing environments, CoCoA, that has an efficient communication scheme a ...

USSR: An UltraSound Sparse Regularization framework

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Parallel Inverse Kinematics for Multithreaded Architectures

Imaging from Echoes: On Inverse Problems in Ultrasound

Characterization of the Impact of Hardware Islands on OLTP

Automated Classification of Data Races Under Both Strong and Weak Memory Models

A Novel Spatial-Angular Domain Regularisation Approach for Restoration of Diffusion MRI

Asynchronous Simulation of Neuronal Activity

GPU Acceleration for Simulating Massively Parallel Many-Core Platforms

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Enhancing Design Space Exploration by Extending CPU/GPU Specifications onto FPGAs

Transactions Chasing Scalability and Instruction Locality on Multicores

Fast Energy Estimation Through Partial Execution of HPC Applications

Scalable Simulation Methodologies for Many-Core Heterogeneous Systems

Brain imaging of locomotion in neurological conditions

CoCoA: A General Framework for Communication-Efficient Distributed Optimization