Rendering is the process of generating high-resolution images by software, which is widely used in animation, video games and visual effects in movies. Although rendering is a computation-intensive job, we observe that storage accesses may become ano...
9 September 2014
Scratchpad memories have been shown to reduce power consumption, but the different characteristics of nanometer scale processes, such as increased leakage power, motivate an examination of how the benefits of these memories change with process scalin...
Large language models (LLMs) have traditionally relegated inference to remote servers, leaving mobile devices as thin clients. Recently, advances in mobile GPUs and NPUs have made on-device inference increasingly feasible, particularly for privacy-se...
Emerging scale-out I/O intensive applications are broadly used now, which process a large amount of data in buffer/cache for reorganization or analysis and their performances are greatly affected by the speed of the I/O system. Efficient management s...
The research community has made significant advances towards realizing self-tuning cloud caches; notwithstanding, existing products still require manual expert tuning to maximize performance. Cloud (software) caches are built to swiftly serve request...
This paper proposes a low-complexity joint parallel timing recovery loop, which is well-suited for large-bandwidth terahertz (THz) communication systems. Specifically, the loop is jointly composed of a modified matched filter (MMF) and a timing error...
Modern distributed systems increasingly rely on reactive programming to meet the demands of high throughput and low latency under extreme concurrency. While the theoretical advantages of non-blocking I/O are well-established, empirical understanding...
Current state-of-the-art parallel codes used to calculate the maximum number of pairs for a given RNA sequence by means of Nussinov’s algorithm do not allow for achieving speedup close up to the number of the processors used for execution of th...
Soil-born plant pathogens, especially Agrobacterium, generally navigate their way to hosts through recognition of the root exudates by chemoreceptors. However, there is still a lack of appropriate identification of chemoreceptors and their ligands in...
This study reexamines the concept of techne within computer-aided architectural practices and proposes a Lakatosian research program framework to understand its historical continuity and contemporary transformation. Since its ancient origins, techne...
Extreme disasters can simultaneously damage distribution equipment and communication links, preventing control centers from promptly acquiring complete energization information for critical nodes. This study formulates joint critical-node state ident...
Achieving periodic, low-latency data transfer with deterministic timing guarantees between I/O devices (e.g., Field-Programmable Gate Arrays (FPGAs)) and hosts remains a fundamental challenge in real-time domains, including automated driving, high-fr...
Accurate workload prediction is essential for proactive resource allocation in large-scale Content Delivery Networks (CDNs), where traffic patterns are highly dynamic and geographically distributed. This paper introduces a CDN-tailored prediction and...
The paper presents a Non-Uniform Memory Access (NUMA)-aware compiler optimization for task-level parallel code. The optimization is based on Non-Uniform Memory Access—Balanced Task and Loop Parallelism (NUMA-BTLP) algorithm Ştirb, 2018. The alg...
The rapid development of remote sensing technology has brought about a sharp increase in the amount of remote sensing image data. However, due to the satellite’s limited hardware resources, space, and power consumption constraints, it is diffic...
As Internet of Medical Things (IoMT) ecosystems expand, life-critical devices become increasingly vulnerable to microarchitectural leakage attacks that enable adversaries to evade conventional digital authentication mechanisms. Exploiting timing and...
This paper focuses on optimizing the Zuker RNA folding algorithm, a bioinformatics task with non-serial polyadic dynamic programming and non-uniform loop dependencies. The intricate dependence pattern is represented using affine formulas, enabling th...
The LLL (Lenstra–Lenstra–Lovász) algorithm is an important method for lattice basis reduction and has broad applications in computer algebra, cryptography, number theory, and combinatorial optimization. However, current LLL algorit...
In the current chip quality detection industry, detecting missing pins in chips is a critical task, but current methods often rely on inefficient manual screening or machine vision algorithms deployed in power-hungry computers that can only identify...
Most agrivoltaic (APV) models assemble stand-alone tools ex post and optimize panel orientation for energy alone. It remains an open question whether the energy resource of an APV plot (its generation, storage, and shiftable demand) can instead be op...
For small robots, annotation can outlast computation as a bottleneck: hardware is bought once, labels at every deployment. We study label efficiency for landmark detection on a humanoid soccer robot. Against soft-argmax and pooled coordinate-regressi...
In the development of multi-vehicle cooperative hardware-in-the-loop (HIL) simulation platforms based on machine vision, accurate vehicle pose estimation is crucial for achieving efficient cooperative control. However, monocular vision systems inevit...
This work presents a unified framework for multiobjective analog circuit optimization that combines surrogate modeling, uncertainty-aware evolutionary search, and adaptive high-fidelity verification. The approach integrates ensemble regressors and gr...
The formation and stability of river ice covers in regulated waterways are critical for uninterrupted hydro-electric operations. This study investigates the modelling of ice cover development in the Beauharnois Canal along the St. Lawrence River with...
This study examines vectorized programming for finite impulse response image filtering. Finite impulse response image filtering occupies a fundamental place in image processing, and has several approximated acceleration algorithms. However, no sophis...
Masked diffusion language models (MDLMs) apply full bidirectional attention at every denoising step, which incurs
Satellite-enabled content delivery networks (S-CDNs) are needed to improve content access for wide-area, remote, and highly dynamic users, for whom relying only on terrestrial CDN infrastructure is often insufficient. However, in conventional CDN sys...
Cloud-dependent irrigation platforms can support remote monitoring, but their use in precision fertigation is limited when local decisions must be made quickly and reliably. Network delay, temporary disconnection, and the use of single-point measurem...
Recently, specifically designed video codecs have been preferred due to the expansion of video data in Internet of Things (IoT) devices. Context Adaptive Binary Arithmetic Coding (CABAC) is the entropy coding module widely used in recent video coding...
In edge computing service, edge devices collect data from a number of embedded devices, like sensors, CCTVs (Closed-circuit Television), and so on, and communicate with application servers. Since a large portion of communication in edge computing ser...