Articles tagged with Computer Architecture
Rice University researchers have demonstrated methods to optimize data-centric processing, improving energy efficiency by up to two orders of magnitude. Two complementary approaches, TIMELY and SmartExchange, were presented at ISCA 2020, leveraging innovative hardware architecture and co-designing with machine-learning algorithms.
Barroso's designs paired inexpensive hardware with powerful distributed systems software to dramatically change system design. His work led to the development of hyperscale datacenters and has had a significant impact on industry, resulting in reduced hardware and operating costs.
The ACM Transactions on Internet of Things (TIOT) journal chronicles the transformative development of the IoT. The journal covers a broad range of topics, including low-power wireless networking, embedded systems, data analytics, and security, with a strong emphasis on experimental validation.
Scientists at Tokyo Institute of Technology have developed a new processor architecture, STATICA, that can efficiently solve combinatorial optimization problems. The proposed system is fully connected and considers all spin-to-spin interactions, enabling parallel updating using stochastic cell automata, which reduces calculation time.
Researchers propose hybrid architectures to advance brain-inspired neuromorphic computing, focusing on operational functions needed to process information efficiently. The future of computing will not be about scaling components, but rethinking processor architecture to emulate brain efficiency.
The University of North Carolina at Chapel Hill is leading a $20 million project to create a platform for testing novel internet architectures. FABRIC, funded by the National Science Foundation, will allow scientists to explore what a new internet could look like at scale.
Researchers have developed a brain-inspired, analog neural network that provides probabilistic responses for complex decision-making. The device is more energy efficient and produces less heat than current computing architectures.
A new deep neural network architecture can identify manipulated images at the pixel level, detecting blurred boundaries and unnatural transitions between regions. This technology aims to improve photo editing tool security and detect deepfakes with high precision.
KAUST researchers develop a universal framework for querying big data, allowing researchers to focus on advancing the query engine rather than coding for specific platforms. The approach uses sparse-matrix algebra and achieves performance comparable to existing specialized approaches.
A Massachusetts Institute of Technology-developed system automatically generates optimized cryptography code for Google Chrome browsers and web applications, matching performance of handwritten code but faster. The system, known as Fiat Cryptography, is being widely used by tech firms and has populated Google's BoringSSL library.
A new method developed by researchers eliminates speculative memory side-channel attacks, exposing security vulnerabilities in microprocessors. The proposed solution reduces performance costs by 11% and energy usage by 7%, without compromising system security.
MORPHEUS, a new processor architecture, blocks potential attacks by encrypting and randomizing key bits 20 times per second. This makes vulnerabilities virtually impossible to exploit, providing a future-proof secure system.
Researchers have developed a new detection technique that uses power anomalies to identify micro-architectural attacks in embedded systems. This approach can reduce the effects of malware even if it evades traditional detection methods, by slowing down data transfer rates by up to 97 percent.
Researchers have designed a new flash-storage system called LightStore that modifies SSDs to connect directly to a data center's network, enabling more efficient data storage operations. In experiments, the system was found to run twice as efficiently as traditional storage servers and required less than half the physical space.
Researchers at UNSW's CQC2T have shown that they can build atomic precision qubits in a 3D device, achieving critical components of the 3D chip architecture. They demonstrated the feasibility of an architecture using atomic-scale qubits aligned to control lines inside a 3D design.
A team of researchers is using a $820,000 DARPA grant to design a new kind of chip that can automatically match software with hardware, significantly reducing the time it takes. The chip, called DASH-SoC, aims to achieve this in just five nanoseconds.
KAUST researchers create a distributed architecture allowing drones to coordinate based on local information and peer-to-peer communications. The algorithm enables rapid reaction times without excessive computation, making it effective in real-time applications.
Researchers at U.S. Army Research Laboratory have developed a way to factor large composite integers using brain-inspired computer architectures, moving away from traditional computing methods. This breakthrough could break many modern-day internet security protocols, including public key encryption.
Researchers found that initial bone parameters significantly correlate with the risk of fracture in postmenopausal women. Peak bone mass and density appear to play a more crucial role in fragility fractures than previously thought.
Researchers at the University of Groningen have developed a new metal-semiconductor interface that combines storage, memory and processing in one unit, paving the way for brain-inspired computing architectures. The device uses a spin-memristor with tunability, enabling non-volatile storage and operation at room temperature.
CONIX Research Center aims to develop novel architectures for large-scale, distributed computing systems with implications for social interaction, smart buildings and infrastructure. The center will create a substrate for networked computing that connects edge devices to the cloud, enabling performance, security, and privacy guarantees.
Argonne is collaborating with HPE to evaluate early versions of Cavium ARM ThunderX2 processors for the ARM ecosystem, seeking a cost-effective alternative to x86 architectures. The Comanche Wave prototype ARM64 server platform will be installed at Argonne's testing environment to support this work.
Two ORNL-led research teams will assess the feasibility of quantum architectures in addressing big science problems and develop algorithms to harness massive power predicted by quantum computing systems. Researchers aim to create quantum computers capable of simulating phenomena at unprecedented scales and speeds.
Researchers at North Carolina State University developed a tool called CIF-CK to create more reactive and adaptable NPCs in games. The tool uses social behavior models to make individual NPCs respond differently to player behavior, leading to a more immersive gaming experience.
Researchers at MIT and Stanford developed a 3D chip that integrates computing and data storage, overcoming communication bottlenecks. The chip uses carbon nanotubes and RRAM cells, enabling dense and fine-grained integration of computating and data storage.
Researchers at UTA have developed a mathematical solution to optimize computing and network resource allocation in data centers, ensuring better user experiences. The new grant will allow for the development of a user-context-aware joint computing-and-networking resource allocation framework.
A new architecture for 3D stacked memory increases rendering speeds by up to 65% by processing data in memory, reducing traffic between GPU cores. This innovation benefits both science, particularly complex modeling and virtual reality, and the gaming industry.
Researchers at Princeton University discovered over 100 errors in RISC-V instruction specification that could cause software running on chips to perform calculations using incorrect values. The findings highlight the importance of correcting these issues to ensure the reliability and safety of systems relying on RISC-V processors.
Researchers at Oak Ridge National Laboratory are developing three new approaches to improve deep learning technologies. They are bringing together quantum, high-performance, and neuromorphic computing architectures to optimize complexity in a low-power environment. Additionally, scientists have created an approach to get a better look ...
EPFL scientists developed a new computer model to predict allosteric pathways for enzymes and other proteins, enabling more efficient drug design. The model proposes a new hypothesis for allosteric architectures, introducing the concept of 'levers' that amplify responses at a distance.
Researchers are developing novel approaches to process and store data in energy-efficient ways, using nanoscale devices and innovative architectures. The goal is to create computers that can learn from data and operate like the human brain.
The Computational Science Initiative at Brookhaven Lab will develop modeling and simulation applications for nuclear and high-energy physics, focusing on lattice quantum chromodynamics calculations and computational chemistry code NWChem. The projects aim to optimize societal impact in fields like climate science and materials science.
Researchers at Princeton University have developed a new microchip called Piton that significantly increases processing speed and slashes energy consumption for data centers. The chip's scalable architecture enables thousands of cores to be connected together, leading to increased efficiency and cost savings.
Researchers at University of Innsbruck propose new quantum computer architecture that detaches logical qubit from physical implementation, overcoming challenges in adiabatic quantum computation. This approach enables scalable and fault-tolerant quantum computing.
Researchers at MIT developed a new system that makes servers using flash memory as efficient as those using conventional RAM while preserving power and cost savings. The system uses preprocessed data on flash drives to improve distributed computation efficiency.
Researchers are exploring software-defined cellular networking to provide next-generation mobile broadband with speeds of up to 10 Gbits/s. The proposed end-to-end architecture offers flexibility, scalability, agility, and efficiency, while overcoming bandwidth shortages and improving quality of service.
Researchers at UCSB's Martinis Lab successfully demonstrated a quantum version of Gauss's law using superconducting qubits. The team achieved full control over a two-qubit system, enabling precise measurement of local curvature through movement, showcasing the power of arbitrary control in quantum simulation.
The NSF has awarded $10 million to create a cloud computing testbed called Chameleon, enabling researchers to develop and experiment with novel cloud architectures. The testbed will provide persistent infrastructure clouds, 'bare metal' provisioning of hardware, and pre-configured software stacks for users to build cloud services.
The NSF awards two $10 million projects to create cloud computing testbeds, enabling the academic research community to develop and experiment with novel cloud architectures. Chameleon and CloudLab will support real-time and safety-critical applications in medical devices, power grids, and transportation systems.
Thomas Colbert proposes innovative solutions to protect Galveston Bay from hurricane storm surge and climate change through thoughtful design. His concepts include functional urban amenities, leveraging lush wetlands as tourist attractions, to address the challenges faced by this coastal community.
The National Science Foundation has awarded $15 million to three multi-institutional projects to further develop, deploy and test future Internet architectures. The projects aim to enhance security, respond to emerging service challenges and enable the scalability of the information infrastructure.
Carnegie Mellon researchers will test the eXpressive Internet Architecture (XIA) in vehicular networks and for delivering online video. The deployment aims to eliminate bottlenecks in video transmission, which accounts for most internet traffic.
A research team in Japan has developed a spintronics-based technology that could replace volatile memory, enabling extremely energy-efficient devices powered by hand-crank or solar panels. The technology uses non-volatile function of advanced spin-transfer torque magnetoresistive random access memory (STT-MRAM) to create 'normally off'...
Matthew Burton, a University of Houston industrial design student, has developed an adapter system called 'Connect' that makes inserting and removing plugs easier for people with disabilities. The system recently earned first place in the International Housewares Association's 2014 Student Design Competition.
The Pursuit Internet would enable users to obtain information without direct access to servers, making the internet faster, safer, and more controllable. Individual computers would copy and republish content, providing a peer-to-peer approach on an unprecedented scale.
Researchers from the University of Illinois Grainger College of Engineering have developed a new process called QuickRec, which allows steps in a process to be retraced to learn where bugs occurred. This prototype is a multicore record and replay system for multithreaded programs, enabling secure and efficient debugging.
Researchers developed a novel model to improve cloud computing infrastructure efficiency, reducing energy consumption and improving performance. They found that data location and competition for shared resources played key roles in server optimization, leading to 15-20% gains.
The University of Houston's Graduate Design/Build Studio has received the Mayor's Proud Partner Award for its sustainable design and construction of a solar-powered outdoor classroom. The studio, part of UH's Gerald D. Hines College of Architecture, collaborated with local organizations to create the eco-friendly pavilion.
A team of University of Houston architects and designers developed new ideas on how the city can better serve its growing populations through innovative uses of ditches, easements, Metro transit centers, and park and rides. The 'Thick Infrastructure' exhibition will showcase bold possibilities for these components of the city.
University of Granada researchers have developed an artificial cerebellum that controls a robotic arm with human-like precision, enabling it to interact with humans safely. The new cerebellar model adapts to corrections and stores sensorial effects, allowing the robot to perform automatic learning and robust control.
Engineers at North Carolina State University have developed a technique to boost processor performance by over 20 percent by allowing GPUs and CPUs on a single chip to collaborate. This approach enables more efficient data transfer and execution, making computers more energy-efficient.
Researchers found that certain smartphone models with pre-loaded applications can be tricked by hackers to bypass security features and access personal information. The study tested eight different models and identified significant vulnerabilities in five of them.
Sotirios G. Ziavras, a professor at NJIT's Electrical and Computer Engineering department, has received the Excellence in Graduate Instruction Award. He is also an internationally recognized expert in advanced computer architecture, embedded computing systems, and parallel processing.
A new computer model, EvoArch, suggests the Internet's architecture will remain an hourglass shape unless new protocols are added to the middle layers. The model predicts that existing protocols in these layers will compete and replace each other.
Mary Shaw and David Garlan, pioneers in software architecture research, received the Outstanding Research Award from SIGSOFT for their significant contributions to the field. Their work has led to established research communities and engineering methods for architectural modeling and analysis.
A new system developed by researchers at North Carolina State University utilizes hardware and software advances to restore an operating system if it is attacked. The system includes attack detection, security fault isolation, and recovery mechanisms to prevent attackers from gaining control of the OS.
The University of Warwick's research uses mathematical models, benchmarking, and simulation to determine the likely performance of future computing designs. The study highlights challenges such as a massive programming/engineering gap and the need for better modeling techniques to discern good design from bad.
The Georgia Institute of Technology is driving innovation in high-performance computing with research initiatives focused on sustainability, reliability, and massive data computation. The Keeneland project, led by Jeffrey Vetter, aims to deploy a heterogeneous computing system for energy-efficient performance.
A team of researchers, led by Patrick Crowley, is working on a new Internet architecture that focuses on named data networking. This approach aims to reduce redundant network traffic and improve security, enabling the connection of a large number of wireless and mobile devices.
The University of Pennsylvania has received $7.5 million from the NSF to contribute to the development of Nebula, a network architecture that will support trustworthy cloud computing with a secure and robust next-generation Internet. The project aims to address security challenges in the emerging cloud computing model by developing new...