17th ACM International Conference on Computing Frontiers (CF'20)

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For more information, visit the website at www.computingfrontiers.org

Call For Papers

The next ACM International Conference on Computing Frontiers will be held May 11th - 13th in Sicily, Italy, in the town of Catania. 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 transform society.

CF's broad scope is driven by recent technological advances in wide-ranging fields impacting computing, such as memory hardware and systems, network and systems architecture, cloud computing, novel device physics and materials, power efficiency, new application domains of machine and deep learning and big data analytics, and systems portability and wearability. 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
  • Quantum computing
  • Neuromorphic, biologically-inspired computing, and optical computing
  • Dataflow architectures, near-data, and in-memory processing
• 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, many-core architectures and accelerators, distributed computing on mobile devices and their challenges
• Machine Learning, Deep Learning, and Big Data Analytics
  • Novel architecture and systems across computing systems (IoT to datacenter)
  • High performance data analytics
  • Exascale data management
• 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
• 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: Cat Graves (catherine.graves (AT) hpe [DOT] com) and Eishi Arima (arima (AT) cc [DOT] u-tokyo [DOT] ac [DOT] jp).

Submission

We encourage the submission of both full and short papers containing high-quality research describing original and unpublished work. Papers must be submitted through https://easychair.org/conferences/?conf=cf2020.

Short papers may be position papers or may describe preliminary or highly speculative work. Full papers are a maximum of eight (8) (excluding references) and short papers are a maximum of four (4) (including references) double-column pages in ACM conference format. Authors may buy up to two (2) extra pages for accepted full papers. Page limits include figures, tables and appendices, but exclude references for full papers. As the review process is double-blind, removal of all identifying information from paper submissions is required (i.e. cite own work in third person). Papers not conforming to the above submission policies on formatting, page limits and the removal of identifying information will be automatically rejected.

No-show policy: Any accepted papers are expected to be presented at the conference and at least one full registration is required from a submission author for each accepted paper. A no-show of papers will result in exclusion from the ACM digital library proceedings. If circumstances arise such that authors are unable to present their papers at the conference, they must contact the PC co-chairs.