high performance computing on graphics processing units: hgpu.org

Artificial Neural Networks (ANNs) have been established as one of the most important algorithmic tools in the Machine Learning (ML) toolbox over the past few decades. ANNs’ recent rise to widespread acceptance can be attributed to two developments: (1) the availability of large-scale training and testing datasets; and (2) the availability of new computer architectures […]

Prefix Scan (or simply scan) is an operator that computes all the partial sums of a vector. A scan operation results in a vector where each element is the sum of the preceding elements in the original vector up to the corresponding position. Scan is a key operation in many relevant problems like sorting, lexical […]

We propose SoaAlloc, a dynamic object allocator for Single-Method Multiple-Objects applications in CUDA. SoaAlloc is the first allocator for GPUs that (a) arranges allocations in a SIMD-friendly Structure of Arrays (SOA) data layout, (b) provides a do-all operation for maximizing the benefit of SOA, and (c) is on par with state-of-the-art memory allocators for raw […]

The 2019 International Conference on Image, Video and Signal Processing (IVSP 2019) will be held during 25-28 February, 2019 in Shanghai, China. IVSP 2019 aims to provide researchers and practitioners from academia and industry with a forum to report on the latest developments in video, image and signal processing, multimedia and computer graphics. The conference […]

Venue: Khalifa University, Abu Dhabi, UAE Khalifa University (also known as Khalifa University of Science, Technology & Research, or KUSTAR) is a science-focused university located in Abu Dhabi, United Arab Emirates with a satellite campus in Sharjah. In 2017 it is ranked as the 401st best university in the world by QS rankings. Founded in 2007 […]

JCRAM 2018 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics, Automation and Mechatronics can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted papers will be published in […]

JCRAI 2018 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted papers will be published in […]

CCVPR 2018 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Computer Vision and Pattern Recognition can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted papers will be published […]

Convolutional Neural Networks (CNNs) are extremely computationally demanding, presenting a large barrier to their deployment on resource-constrained devices. Since such systems are where some of their most useful applications lie (e.g. obstacle detection for mobile robots, vision-based medical assistive technology), significant bodies of work from both machine learning and systems communities have attempted to provide […]

Over the past few years, in the huge field of Artificial Intelligence (AI), new Machine Learning techniques are playing a central role, proving to be very powerful and versatile. For this reason, it is expected that they could become protagonist of space applications and they are already under study. Thanks to the large availability of […]

Medical applications challenge today’s text categorization techniques by demanding both high accuracy and ease-of-interpretation. Although deep learning has provided a leap ahead in accuracy, this leap comes at the sacrifice of interpretability. To address this accuracy-interpretability challenge, we here introduce, for the first time, a text categorization approach that leverages the recently introduced Tsetlin Machine. […]

Gradient boosted decision trees (GBDTs) have seen widespread adoption in academia, industry and competitive data science due to their state-of-the-art performance in a wide variety of machine learning tasks. In this paper, we present an extensive empirical comparison of XGBoost, LightGBM and CatBoost, three popular GBDT algorithms, to aid the data science practitioner in the […]