OpenFOAM is a CFD software widely used in both industry and academia. The exaFOAM project aims at enhancing the HPC scalability of OpenFOAM, while identifying its current bottlenecks and proposing ways to overcome them. For the assessment of the soft...
Power and energy efficiency are among the most crucial requirements in high-performance and other computing platforms. In this work, extensive experimental methods and procedures were used to assess the power and energy efficiency of fundamental hard...
This paper evaluates the current maturity of automatic code-generation workflows for deploying modern CNN-based object detectors on embedded GPU platforms. We compare a native pipeline against a code generation pipeline through a Model-Based Engineer...
Unified memory allows a central processing unit (CPU) and a graphics processing unit (GPU) to share data, simplifying the development of applications that use both processors. However, a shared memory interface does not eliminate the performance effe...
Modern Linux operating systems are being used in a wide range of fields, from small IoT embedded devices to supercomputers. However, most machines use the default Linux scheduler parameters implemented for general-purpose environments. The problem is...
Modern high-performance processors employ sophisticated branch prediction mechanisms to minimize control hazards and maximize instruction-level parallelism. A core component of this mechanism is the Branch Target Buffer (BTB), a critical hardware str...
Data in multi-tenant cloud environments is increasingly shared across organizations, making strong in-memory isolation a critical requirement. Existing confidential computing mechanisms such as AMD SEV provide hardware-enforced protection, but they r...
LoRa is popular for internet of things applications as this communication technology offers both a long range and a low power consumption. However, LoRaWAN, the standard MAC protocol that uses LoRa as physical layer, has the bottleneck of a high down...
Spectre variants 1 and 2 pose grave security threats to dynamic branch predictors in modern CPUs. While extensive research has focused on mitigating these attacks, little attention has been given to their energy and power implications. This study pre...
Solid-state drives (SSDs) are widely adopted in mobile devices, desktop PCs, and data centers since they offer higher throughput, lower latency, and lower power consumption to modern computing systems and applications compared with hard disk drives (...
While cloud customers can benefit from migrating applications to the cloud, they are concerned about the security of the hosted applications. This is complicated by the customers not knowing whether their cloud applications are working as expected. A...
Network Digital Twins (NDTs) require accurate, structured, and timely data from heterogeneous communication networks. However, many existing approaches assume that this information is already available and do not address the operational path needed t...
Large-scale quantum computers threaten the classical public-key foundations of Transport Layer Security (TLS), motivating deployment of standardized post-quantum cryptography (PQC). This study evaluates post-quantum TLS 1.3 as a systems-level deploym...
Scientific applications often require substantial amount of computing resources for running challenging jobs potentially consisting of many tasks from hundreds of thousands to even millions. As a result, many institutions collaborate to solve large-s...
There have been recent advances in multi-core machines with tens and hundreds of cores, and there is an increasing emphasis on the software structure. Many different synchronization mechanism techniques have been developed to improve the performance...
In recent decades, memory-intensive applications have experienced a boom, e.g., machine learning, natural language processing (NLP), and big data analytics. Such applications often experience out-of-memory (OOM) errors, which cause unexpected process...
Single-board computers (SBCs) are emerging as an efficient and economical solution for fog and edge computing, providing localized big data processing with lower energy consumption. Newer and faster SBCs deliver improved performance while still maint...
Safety-critical maritime navigation depends on machine-readable data products. Their digital signatures establish provenance and integrity but do not guarantee that authenticated content can be parsed safely: even passive data containing no executabl...
This paper presents an ARMv8/NEON-oriented implementation of NCC-Sign targeting the NTT-friendly trinomial parameter sets (NCC-Sign-1/3/5), whose dominant cost arises from mixed-radix NTT computations with
In this work, we analyze the arithmetic building blocks of DNA basecalling to motivate runtime approximate computing in bio systems-on-chip (BioSoCs). We propose and characterize a reconfigurable compressor-tree multiplier whose operating mode can be...
Robotic table tennis perception typically produces a continuous three-dimensional (3D) ball-state stream, whereas rule understanding, score attribution, and training review need discrete, ordered, and auditable events. We cast this gap as hybrid even...
In higher education, hallucination-free information retrieval is critical for navigating complex institutional legislation. This study develops a highly accurate, production-ready Retrieval-Augmented Generation (RAG) architecture tailored to Turkish,...
4 November 2026
This paper proposes that superintelligence should be studied as an emerging systems discipline, rather than only as an extension of artificial intelligence. The present study focuses on the long-horizon problem as one operational challenge within thi...
The number of processing elements per solution is growing. From embedded devices now employing (often heterogeneous) multi-core processors, across many-core scientific computing platforms, to distributed systems comprising thousands of interconnected...
The proliferation of Internet of Things (IoT) deployments demands Authentication and Key Agreement (AKA) protocols that scale from one initiator to many devices while preserving strong security guarantees on constrained hardware. Prior lightweight on...
Transactional memory has been receiving much attention from both academia and industry. In transactional memory, program code is split into transactions, blocks of code that appear to execute atomically. Transactions are executed speculatively and th...
Large language model (LLM) agents are becoming cognitive interfaces to data lakes, enterprise knowledge bases, vector memories, browsers, files, and software tools. This shift creates a data-governance gap: an agent may reason over large private cont...
Branch prediction errors can reduce superscalar throughput by more than the error frequency alone suggests because a single misprediction can trigger redirect, squash, refetch, refill, and window recovery, which collectively disrupt sustained instruc...
Automotive Ethernet networks increasingly rely on SOME/IP within the AUTOSAR Adaptive Platform for service-oriented ECU communication, yet SOME/IP lacks built-in security, exposing systems to Man-in-the-Middle (MitM), replay, spoofing, and eavesdropp...