Conference Information
CF 2022: International Conference on Computing Frontiers
https://www.computingfrontiers.org/2022/
Submission Date:
2022-02-06 Extended
Notification Date:
2022-03-22
Conference Date:
2022-05-17
Location:
Turin, Italy
Years:
19
CCF: c   QUALIS: b1   Viewed: 28091   Tracked: 102   Attend: 22

Call For Papers
 The next ACM International Conference on Computing Frontiers will take place on May 17th - 19th, 2022. The Computing Frontiers 2022 conference will take place in Turin, Italy. As the situation related to COVID-19 is improving, safety measures and restrictions will remain uncertain for the upcoming months across Europe and worldwide. In transition towards a future post-pandemic event again, CF2022 will support remote participation for the speakers which undergo travel restrictions.

Computing Frontiers is an eclectic, interdisciplinary, collaborative community of researchers who investigate emerging technologies in the broad field of computing: our common goal is to drive the scientific breakthroughs that support society.

CF's broad scope is driven by recent technological advances in wide-ranging fields impacting computing, such as novel computing models and paradigms, advancements in hardware, network and systems architecture, cloud computing, novel device physics and materials, new application domains of artificial intelligence, big data analytics, wearables and IoT. The boundaries between the state-of-the-art and revolutionary innovation constitute the advancing frontiers of science, engineering, and information technology — and are the CF community focus. CF provides a venue to share, discuss, and advance broad, forward-thinking, early research on the future of computing and welcomes work on a wide spectrum of computer systems, from embedded and hand-held/wearable devices to supercomputers and datacenters.

Topics of Interest

We seek original research contributions at the frontiers of a wide range of topics, including novel computational models and algorithms, new application paradigms, computer architecture (from embedded to HPC systems), computing hardware, memory technologies, networks, storage solutions, compilers, and environments.

    Innovative Computing Approaches, Architectures, Accelerators, Algorithms, and Models
        Approximate, analog, inexact, probabilistic computing
        Neuromorphic, biologically-inspired computing, and hyperdimensional computing
        Dataflow architectures, near-data, and in-memory processing
    Quantum computing systems
        Quantum algorithms and applications for current and near-term quantum devices
        Quantum Programming models, runtime, compilers and microarchitecture
        Quantum error correction and fault-tolerant quantum computation
        Architectures and design methodologies for scalable quantum computing systems
        Benchmarks, methods, and performance metrics to evaluate quantum computing systems
    Technological Scaling Limits and Beyond
        Limits: Defect- and variability-tolerant designs, graphene and other novel materials, nanoscale design, dark silicon
        Extending past Moore's law: 3D-stacking, heterogeneous architectures and accelerators, chiplets, distributed and federated computing and their challenges
    Efficient AI computing
        Deep learning co-processors including architectures, efficient algorithms, chip design and hardware-software codesign, frameworks and programming models
        Edge deep learning for IoT
        Distributed AI computing for cloud data servers
    Embedded, IoT, and Cyber-Physical Systems
        Ultra-low power designs, energy scavenging
        Physical security, attack detection and prevention
        Reactive, real-time, scalable, reconfigurable, and self-aware systems
        Sensor networks, IoT, and architectural innovation for wearable computing
    Large-Scale System Design and Networking
        Large-scale homogeneous/heterogeneous architectures and networking
        System-balance and CPU-offloading
        Power- and energy-management for clouds, datacenters, and exascale systems
        Big Data analytics and exascale data management
    System Software, Compiler Technologies, and Programming Languages
        Technologies that push the limits of operating systems, virtualization, and container technologies
        Large scale frameworks for distributed computing and communication
        Resource and job management, scheduling and workflow systems for managing large-scale heterogeneous systems
        Compiler technologies: hardware/software integrated solutions, high-level synthesis
        Tools for analyzing and managing performance at large scale
        Novel programming approaches
    Fault Tolerance and Resilience
        Solutions for ultra-large and safety-critical systems (e.g., infrastructure, airlines)
        Hardware and software approaches in adverse environments such as space
    Security
        Methods, system support, and hardware for protecting against malicious code
        Real-time implementations of security algorithms and protocols
        Quantum and post-quantum cryptography
    Computers and Society
        Artificial Intelligence (AI) ethics and AI environmental impact
        Education, health, cost/energy-efficient design, smart cities, emerging markets, and interdisciplinary applications

We strongly encourage submissions in emerging fields that may not fit into traditional categories — if in doubt, please contact the PC co-chairs by email: Andrea Bartolini (a [DOT] bartolini (AT) unibo [DOT] it ) and Anastasiia Butko (abutko (AT) lbl [DOT] gov). 
Last updated by Dou Sun in 2022-02-01
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