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Trentin, Vinicius (author), Ma, Chenxu (author), Villagra, Jorge (author), Al-Ars, Z. (author)Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is fundamental in order to assure safety while navigating through highly interactive complex scenarios. In this work, the framework IAMP (Interaction-Aware Motion Prediction), producing multi-modal probabilistic outputs from the integration of a Dynamic...conference paper 2023
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Al-Ars, Z. (author), Agba, Obinna (author), Guo, Zhuoran (author), Boerkamp, C. (author), Jaber, Ziyaad (author), Jaber, Tareq (author)This paper offers a systematic method for creating medical knowledge-grounded patient records for use in activities involving differential diagnosis. Additionally, an assessment of machine learning models that can differentiate between various conditions based on given symptoms is also provided. We use a public disease-symptom data source called...conference paper 2023
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Sarkar, A. (author), Al-Ars, Z. (author), Bertels, K.L.M. (author)In this research, we extend the universal reinforcement learning agent models of artificial general intelligence to quantum environments. The utility function of a classical exploratory stochastic Knowledge Seeking Agent, KL-KSA, is generalized to distance measures from quantum information theory on density matrices. Quantum process...conference paper 2023
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Cromjongh, Casper (author), Tian, Y. (author), Hofstee, H.P. (author), Al-Ars, Z. (author)In spite of progress on hardware design languages, the design of high-performance hardware accelerators forces many design decisions specializing the interfaces of these accelerators in ways that complicate the understanding of the design and hinder modularity and collaboration. In response to this challenge, Tydi is presented as an open...conference paper 2023
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Ahmad, T. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)Moving structured data between different big data frameworks and/or data warehouses/storage systems often cause significant overhead. Most of the time more than 80% of the total time spent in accessing data is elapsed in serialization/de-serialization step. Columnar data formats are gaining popularity in both analytics and transactional...conference paper 2022
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Abrahamse, Robin (author), Hadnagy, A. (author), Al-Ars, Z. (author)The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes can directly access memory on adjacent nodes and are therefore able to overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...conference paper 2022
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Park, Seongyeon (author), Kim, Hajin (author), Ahmad, T. (author), Ahmed, N. (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Kim, Youngsok (author), Lee, Jinho (author)Sequence alignment forms an important backbone in many sequencing applications. A commonly used strategy for sequence alignment is an approximate string matching with a two-dimensional dynamic programming approach. Although some prior work has been conducted on GPU acceleration of a sequence alignment, we identify several shortcomings that limit...conference paper 2022
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Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...conference paper 2022
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Arvanitis, P. (author), Betting, Jan Harm L.F. (author), Bosman, Laurens W.J. (author), Al-Ars, Z. (author), Strydis, C. (author)Mice and rats can rapidly move their whiskers when exploring the environment. Accurate description of these movements is important for behavioral studies in neuroscience. Whisker tracking is, however, a notoriously difficult task due to the fast movements and frequent crossings and juxtapositionings among whiskers. We have recently developed...conference paper 2022
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Peltenburg, J.W. (author), Van Leeuwen, Lars T.J. (author), Hoozemans, J.J. (author), Fang, J. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)In the domain of big data analytics, the bottleneck of converting storage-focused file formats to in-memory data structures has shifted from the bandwidth of storage to the performance of decoding and decompression software. Two widely used formats for big data storage and in-memory data are Apache Parquet and Apache Arrow, respectively. In...conference paper 2021
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Peltenburg, J.W. (author), Hadnagy, A. (author), Brobbel, M. (author), Morrow, Robert (author), Al-Ars, Z. (author)JSON is a popular data interchange format for many web, cloud, and IoT systems due to its simplicity, human readability, and widespread support. However, applications must first parse and convert the data to a native in-memory format before being able to perform useful computations. Many big data applications with high performance requirements...conference paper 2021
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Hoozemans, J.J. (author), Tervo, Kati (author), Jaaskelainen, Pekka (author), Al-Ars, Z. (author)Many applications make extensive use of various forms of compression techniques for storing and communicating data. As decompression is highly regular and repetitive, it is a suitable candidate for acceleration. Examples are offloading (de)compression to a dedicated circuit on a heterogeneous System-on-Chip, or attaching FPGAs or ASICs...conference paper 2021
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Chen, Jianyu (author), Daverveldt, Maurice (author), Al-Ars, Z. (author)With the continued increase in the amount of big data generated and stored in various application domains, such as high-frequency trading, compression techniques are becoming ever more important to reduce the requirements on communication bandwidth and storage capacity. Zstandard (Zstd) is emerging as an important compression algorithm for big...conference paper 2021
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Zhu, B. (author), Hofstee, H.P. (author), Lee, Jinho (author), Al-Ars, Z. (author)Attention mechanism has been regarded as an advanced technique to capture long-range feature interactions and to boost the representation capability for convolutional neural networks. However, we found two ignored problems in current attentional activations-based models: the approximation problem and the insufficient capacity problem of the...conference paper 2021
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Noordsij, Lennart (author), Vlugt, Steven Van Der (author), Bamakhrama, Mohamed A. (author), Al-Ars, Z. (author), Lindstrom, Peter (author)Data movement has long been identified as the biggest challenge facing modern computer systems' designers. To tackle this challenge, many novel data compression algorithms have been developed. Often variable rate compression algorithms are favored over fixed rate. However, variable rate decompression is difficult to parallelize. Most existing...conference paper 2020
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Zhu, B. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)Binary Convolutional Neural Networks (CNNs) have significantly reduced the number of arithmetic operations and the size of memory storage needed for CNNs, which makes their deployment on mobile and embedded systems more feasible. However, after binarization, the CNN architecture has to be redesigned and refined significantly due to two reasons:...conference paper 2020
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Ahmad, T. (author), Ahmed, N. (author), Peltenburg, J.W. (author), Al-Ars, Z. (author)The rapidly growing size of genomics data bases, driven by advances in sequencing technologies, demands fast and cost-effective processing. However, processing this data creates many challenges, particularly in selecting appropriate algorithms and computing platforms. Computing systems need data closer to the processor for fast processing....conference paper 2020
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Ahmed, N. (author), Bertels, K.L.M. (author), Al-Ars, Z. (author)The seeding heuristic is widely used in many DNA analysis applications to speed up the analysis time. In many applications, seeding takes a substantial amount of the total execution time. In this paper, we present an efficient GPU implementation for computing maximal exact matching (MEM) seeds in long DNA reads. We applied various...conference paper 2020
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Peltenburg, J.W. (author), van Straten, J. (author), Wijtemans, L. (author), Van Leeuwen, Lars (author), Al-Ars, Z. (author), Hofstee, H.P. (author)Modern big data systems are highly heterogeneous. The components found in their many layers of abstraction are often implemented in a wide variety of programming languages and frameworks. Due to language implementation differences, interfaces between these components, including hardware accelerated components, are often burdened by...conference paper 2019
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van Dam, Laurens (author), Peltenburg, J.W. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)The newly proposed posit number format uses a significantly different approach to represent floating point numbers. This paper introduces a framework for posit arithmetic in reconfigurable logic that maintains full precision in intermediate results. We present the design and implementation of a L1 BLAS arithmetic accelerator on posit vectors...conference paper 2019
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