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We show that trading the number and type of core with frequency and voltage level and core utilization rate can lead to substantial energy efficiency gains.
Data on this device and several MSI devices show how the power-supply current-surge characteristics can be used to select radiation test levels to minimize interference from latchup windows.
An additional afterburner treatment at a sufficiently high temperature (1,000 degrees C) may be a suitable setting for minimization of most pollutants.
The simulation results show that the proposed algorithm saves significant energy and increases processor utilization in Voltage Island based multi-core platform.
(3) Increasing afterburner temperature is the most effective way to improve the thrust of the engine.
The analysis shows that the propulsive performance of a turbine engine can be greatly improved by replacing the conventional afterburner with a pulse detonation afterburner (PDA).
The proposed ME-DVS (Modified EDF with Dynamic Voltage Scaling) scheduling algorithm can effectively reduce energy consumption in multi-core environment and ensure all tasks to meet their deadlines.
Measurement circuits can detect changes in processor workload and an integrated power management unit responds by adjusting the core voltage at sub-microsecond timescales.
Adaptive voltage scaling can be used to bring all cores to the same performance level leaving only core-to-core power variations.
Our technique is based on the observations that: 1) core-to-core (C2C) voltage variations are relatively small for most execution intervals when the voltages/frequencies are optimized to maximize performance under a power constraint and 2) per-core power-gating devices augmented with feedback control circuitry can serve as low-cost VRs that can provide high efficiency in situations like 1).
Per-core voltage domains can improve performance under a power constraint.
In this paper, we propose a novel approach to voltage-island formation, for the energy optimization of many-core architectures, which mitigates the impact of process, voltage, and temperature (PVT) variations.
We propose test scheduling techniques to minimize the testing time for multicore chips when each core is tested at multiple voltage levels and when it is tested for state retention when the core switches between two voltage levels.
Detailed architectural simulations of multi-core processors demonstrate significant performance and power advantages are possible by combining variable latency with voltage interpolation.
We propose a fast heuristic test scheduling technique for multicore chips that minimize the testing time when each core is tested at multiple voltage settings as well as if it is tested for state retention when the core switches between two voltage levels.
The proposed thermal management technique synergistically combines the benefits of the architectural adaptation supported by our 3D multi-core architecture with dynamic voltage and frequency scaling.
Using this method, this article determines an optimal control strategy solution for the afterburner sub-system.
This result is different from that obtained from conventional exergy analysis suggesting that attention should be paid first on the stack, then on the afterburner and afterward on the inverter.

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What is arduino IDE?
5 answers
Arduino IDE is an integrated development environment for programming Arduino microcontroller boards, supporting languages like C and C++. It is a user-friendly platform widely used for developing projects that involve real-time and complex processing, especially in embedded systems. The IDE allows for reprogramming the microcontroller and facilitates visual programming through tools like Ardublock and miniBloq. Arduino IDE incorporates serial communication interfaces, such as USB, and is based on Processing, a programming language that supports C and C++. It enables easy interconnections with various devices, making it popular among developers for a wide range of projects in different domains and countries. The IDE plays a crucial role in enabling the creation of digital devices and interactive objects that can be controlled in the physical world.
Is bwa mem recommended for long reads?
5 answers
Yes, BWA-MEM is recommended for long reads due to its efficiency and performance improvements. Studies have shown that BWA-MEM, especially when optimized with specific parameters like -k 19 -r 2.5, can provide mapping efficiency comparable to other methods like BWA-aln but with faster run times, making it suitable for processing long reads. Additionally, efforts have been made to accelerate BWA-MEM through efficient architecture-aware implementations, resulting in significant speedups on single-thread and single-socket processors, making it a favorable choice for handling large volumes of data from high-throughput sequencing technologies. Furthermore, implementations of BWA-MEM on GPUs have shown promising results, achieving notable speedups over CPU-based versions, further enhancing its suitability for processing long reads efficiently.
What are the negative impact of Drones in terms of Limited Battery Life for Film and media industry?
4 answers
Drones' limited battery life poses significant challenges for the film and media industry. This limitation restricts the duration of aerial shots and requires drones to land for battery replacement, disrupting filming continuity. To address this issue, innovative concepts like the Flying Hot-Swap Battery (FHSB) system have been developed, enabling drones to stay airborne indefinitely by replacing batteries mid-flight. Additionally, research focuses on strategies to ensure persistent drone operation by determining the minimum number of spare drones needed and implementing efficient replacement strategies to prevent battery drainage. These advancements aim to enhance the efficiency and effectiveness of drone operations in the film and media industry despite the challenges posed by limited battery life.
What is physical resources?
4 answers
Physical resources refer to tangible assets or elements utilized in various systems, such as classrooms, computer equipment, and base stations. These resources can include sensor-equipped items, time slot and code channel allocations, and allocated resources for user equipment (UE). Methods and devices are developed to manage and optimize the allocation of physical resources efficiently. For instance, in classrooms, physical resources are adjusted based on sensor readings to enhance student learning. Similarly, in telecommunications, physical resources like time slots and code channels are allocated to improve user peak rates. The dynamic allocation and reallocation of physical resources play a crucial role in optimizing system performance and resource utilization across various domains.
What is slite?
5 answers
Slite refers to various processes and devices related to cutting or slitting materials. It can involve methods like forming asymmetric gaps on rolls for stable rolling, designing slit blades with adjustable cutting blade surfaces for longevity and versatility, or utilizing slitting machines with support frames and cutting devices for precise cutting of rolled materials. Additionally, slite can involve devices like a blade holder with a cutting blade for slitting metallic foils, which is moved along a linear guide path at a controllable speed. Moreover, Slite can also refer to a system called Slite designed for near zero-cost scheduling of system-level threads at user-level, enabling the implementation of configurable scheduling policies for real-time systems with improved isolation and parallelism.
Does the PUE metric cover rack level energy losses?
5 answers
The Power Usage Effectiveness (PUE) metric, while successful in enhancing data center energy efficiency, does not fully encompass rack-level energy losses. Context_1 discusses how the PUE metric, defined by the ratio of total energy used to the energy used in IT equipment, may not consider all relevant factors like server fan power, leading to potential inaccuracies in energy efficiency assessments. Context_2 introduces the concept of ITUE and TUE metrics to address the limitations of PUE, focusing on internal and external energy usage within IT equipment. Additionally, Context_5 emphasizes the importance of reducing energy consumption at the rack component level to achieve significant energy savings. Therefore, while PUE is valuable, incorporating metrics like ITUE, TUE, and considering rack-level energy losses is crucial for a more comprehensive evaluation of data center energy efficiency.
How did Louis Trichardt's slope elements contribute to the development of modern architecture?
5 answers
Louis Trichardt's slope elements significantly influenced modern architecture by introducing innovative construction techniques and design considerations. Trichardt's approach to slope building structures, as seen in the anchor rod and beam-plate type raft-shaped foundation, prioritized earthquake resistance, safety, and stability. Additionally, the concept of protective slope architecture components, which can be easily connected and fixed on abrupt slopes without cement, showcases a practical and efficient solution for urgent conditions like flood-fighting. Moreover, the slope reinforcement device for architectural engineering, incorporating extensible gear inserting rods with concrete mortar, demonstrates a structurally sound method to enhance stability and reinforce slopes. Trichardt's emphasis on safety, efficiency, and environmental considerations in dealing with slope conditions has left a lasting impact on the development of modern architectural practices.
What is scale model?
4 answers
A scale model is a powerful tool used in various fields like lightning analysis, processor research, archaeological studies, and noise source analysis. It involves creating a smaller replica of a system or structure to simulate and predict the behavior of the full-scale version. Scale models enable controlled testing under different conditions, validation of theoretical models, and prediction of system performance through extrapolation. For instance, in the study of large-scale multicore processors, scale-model simulation significantly speeds up performance prediction with reduced core counts and shared resources, aiding in overcoming simulation constraints. Similarly, in archaeological research, a scale model of Pompei was meticulously crafted to represent the archaeological site accurately, showcasing the technical and artistic expertise involved in its creation.
What is the relation between AMD and TSMC?
5 answers
The relationship between AMD (Advanced Micro Devices) and TSMC (Taiwan Semiconductor Manufacturing Company) can be inferred through the lens of the semiconductor industry's dynamics and technological advancements, as outlined in the provided contexts, although a direct relationship between AMD and TSMC is not explicitly mentioned in the abstracts. TSMC's role in the semiconductor industry is pivotal, as it is the largest semiconductor company, which has faced challenges and opportunities in light of increased global demand and geopolitical tensions. TSMC's technological capabilities are highlighted through the development and implementation of sophisticated SoC (System on Chip) chips, utilizing advanced 90 nm technology, showcasing its prowess in semiconductor manufacturing. The semiconductor industry's reliance on cloud computing and virtualization technology for infrastructure services, where TSMC's innovative approaches to live virtual machine migration, such as the TSMC (three-stage memory copy) method, demonstrate its commitment to improving operational efficiencies and network IO performance. This technological innovation is crucial for companies like AMD, which require cutting-edge fabrication technologies for their processors and GPUs. Furthermore, TSMC's focus on enhancing foundry-services quality and providing easy internet solutions for data access on wafer parameters, assembly, and final test processes indicates its role as a key player in the semiconductor supply chain, offering significant value to its customers, potentially including companies like AMD. The development of CMOS standard cell libraries by other entities underscores the collaborative and interconnected nature of semiconductor manufacturing, where advancements by one player can benefit the entire ecosystem, including AMD. In summary, while the abstracts do not directly address the relationship between AMD and TSMC, the latter's technological advancements, manufacturing capabilities, and role in the global semiconductor supply chain suggest a foundational support role for semiconductor companies like AMD, which rely on cutting-edge fabrication processes and efficient supply chain management for their products.
What is the definition of mind?
5 answers
The mind can be defined as a cognitive structure that organizes various mental capacities along dimensions such as bodily sensation, cognition, and sometimes emotion, as indicated by research across diverse cultures. In the realm of advanced parallel computer architecture, MIND (Memory, Intelligence, and Network Device) stands out as a Processor-in-Memory (PIM) architecture that integrates DRAM bit cells and CMOS logic devices on the same silicon die, supporting global shared memory and efficient parallel execution models. Furthermore, the human mind is described as a functional capability of the brain, responsible for subjective interpretations based on neurocognitive processes, cognitive judgments, and emotional experiences, shaping individual actions and responses based on detected external events and changes over time and space. Integrating Western and Indian perspectives, the concept of mind is pivotal for understanding psychological processes, cognition, consciousness, self, and paranormal phenomena, offering complementary insights for a comprehensive understanding of human functioning and development.
What is Scheduling system in app?
4 answers
A scheduling system in an app refers to a software solution designed to manage and organize tasks, appointments, and activities efficiently. Various scheduling systems have been developed to enhance resource utilization and streamline processes. For instance, a genetic algorithm-based scheduling system aims to optimize security updates and antivirus installations for company employees. Another example is an intelligent scheduling system utilizing mobile phone apps to coordinate warehouse tasks based on real-time data feedback and GPS technology. Additionally, a hybrid application computing framework incorporates a resource manager and container modules to enhance resource sharing among different computing frameworks, increasing resource utilization rates. These systems demonstrate the diverse applications of scheduling technology in improving efficiency and productivity across different industries.