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Leveraging the SIMD capability of modern CPU architectures is mandatory to take full benefit of their increasing performance. To exploit this feature, binary executables must be explicitly vectorized by the developers or an automatic…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-03 Hayfa Tayeb , Ludovic Paillat , Berenger Bramas

One of the biggest concerns in IoT is privacy and security. Encryption and authentication need big power budgets, which battery-operated IoT end-nodes do not have. Hardware accelerators designed for specific cryptographic operations provide…

Hardware Architecture · Computer Science 2020-10-01 Ömer Faruk Irmak , Arda Yurdakul

Modern industry-scale data centers need to manage a large number of virtual machines (VMs). Due to the continual creation and release of VMs, many small resource fragments are scattered across physical machines (PMs). To handle these…

Machine Learning · Computer Science 2025-05-26 Xianzhong Ding , Yunkai Zhang , Binbin Chen , Donghao Ying , Tieying Zhang , Jianjun Chen , Lei Zhang , Alberto Cerpa , Wan Du

Modern x86 processors support an AVX instruction set to boost performance. However, this extension may cause security issues. We discovered that there are vulnerable properties in implementing masked load/store instructions. Based on this,…

Cryptography and Security · Computer Science 2023-04-18 Hyunwoo Choi , Suryeon Kim , Seungwon Shin

The intent of the H.264 AVC project was to create a standard capable of providing good video quality at substantially lower bit rates than previous standards without increasing the complexity of design so much that it would be impractical…

Multimedia · Computer Science 2009-09-02 Sourabh Rungta , Kshitij Verma , Neeta Tripathi , Anupam Shukla

Counting the number of ones in a binary stream is a common operation in database, information-retrieval, cryptographic and machine-learning applications. Most processors have dedicated instructions to count the number of ones in a word…

Data Structures and Algorithms · Computer Science 2018-09-07 Wojciech Muła , Nathan Kurz , Daniel Lemire

Stencil computation is one of the most important kernels in various scientific and engineering applications. A variety of work has focused on vectorization and tiling techniques, aiming at exploiting the in-core data parallelism and data…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-19 Kun Li , Liang Yuan , Yunquan Zhang , Yue Yue , Hang Cao , Pengqi Lu

Multi-core processors are becoming more and more popular in embedded and real-time systems. While fixed-priority scheduling with task-splitting in real-time systems are widely applied, current approaches have not taken into consideration…

Operating Systems · Computer Science 2015-12-24 Yao Guo , Junyang Lu

The Intel Haswell-EP processor generation introduces several major advancements of power control and energy-efficiency features. For computationally intense applications using advanced vector extension (AVX) instructions, the processor…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-27 Joseph Schuchart , Daniel Hackenberg , Robert Schöne , Thomas Ilsche , Ramkumar Nagappan , Michael K. Patterson

Recent trends in the HPC field have introduced new CPU architectures with improved vectorization capabilities that require optimization to achieve peak performance and thus pose challenges for performance portability. The deployment of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-17 Gianmarco Accordi , Jens Domke , Theresa Pollinger , Davide Gadioli , Gianluca Palermo

The sparse matrix/vector product (SpMV) is a fundamental operation in scientific computing. Having access to an efficient SpMV implementation is therefore critical, if not mandatory, to solve challenging numerical problems. The ARM-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-28 Evann Regnault , Berenger Bramas

In many important applications -- such as search engines and relational database systems -- data is stored in the form of arrays of integers. Encoding and, most importantly, decoding of these arrays consumes considerable CPU time.…

Information Retrieval · Computer Science 2021-02-02 Daniel Lemire , Leonid Boytsov

Vector processing is highly effective in boosting processor performance and efficiency for data-parallel workloads. In this paper, we present Ara2, the first fully open-source vector processor to support the RISC-V V 1.0 frozen ISA. We…

Hardware Architecture · Computer Science 2024-06-18 Matteo Perotti , Matheus Cavalcante , Renzo Andri , Lukas Cavigelli , Luca Benini

We present faster-than-native alternatives for the full AVX512-VP2INTERSECT instruction subset using basic AVX512F instructions. These alternatives compute only one of the output masks, which is sufficient for the typical case of computing…

Data Structures and Algorithms · Computer Science 2022-04-19 Guille Díez-Cañas

We summarise how a 3.0 GHz 16 core AVX512 computer can interpret the equivalent of up to on average 1103370000000 GPop/s. Citations to existing publications are given. Implementation stress is placed on both parallel computing, bandwidth…

Neural and Evolutionary Computing · Computer Science 2022-05-09 W. B. Langdon

Neural networks are increasingly used in real-time systems, such as automated driving applications. This requires high-performance hardware with predictable timing behavior. State-of-the-art real-time hardware is limited in memory and…

Hardware Architecture · Computer Science 2024-10-15 Maximilian Kirschner , Konstantin Dudzik , Jürgen Becker

Supply voltage scaling is one of the most effective techniques to reduce the power consumption of microprocessors. However, technology limitations such as aging and process variability enforce microprocessor designers to apply pessimistic…

In high performance computing, researchers try to optimize the CPU Scheduling algorithms, for faster and efficient working of computers. But a process needs both CPU bound and I/O bound for completion of its execution. With modernization of…

Operating Systems · Computer Science 2019-08-06 Amar Ranjan Dash , Sandipta Kumar Sahu , B Kewal

Modern video codecs have been extensively optimized to preserve perceptual quality, leveraging models of the human visual system. However, in split inference systems-where intermediate features from neural network are transmitted instead of…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Md Eimran Hossain Eimon , Ashan Perera , Juan Merlos , Velibor Adzic , Hari Kalva

All modern processors include a set of vector instructions. While this gives a tremendous boost to the performance, it requires a vectorized code that can take advantage of such instructions. As an ideal vectorization is hard to achieve in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-08 Piotr Bialas , Adam Strzelecki