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Participation is in-person only. Computing Frontiers (CF) is an eclectic, interdisciplinary, collaborative community of researchers investigating 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's 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 data centers. 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. Hardware Frontiers Emerging processor architectures, accelerators and memory systems Post-exascale high-performance computing Quantum computing systems, runtimes, algorithms and applications Post-Moore's Law Systems: Neuromorphic, biologically-inspired and hyperdimensional computing Distributed Systems and Networking Frontiers Multi and Hybrid Cloud computing, and challenges IoT, CPS, edge and embedded computing systems Breakthroughs in edge-cloud continuum, satellite computing Sensor networks and wearable computing System Software and Runtime Frontiers Virtualization and containerization Platforms for workflows and distributed progamming Compilers and optmizations for heterogeneous systems Big data platforms and analytics AI for System and Systems for AI Distributed AI and Federated learning System design for efficient AI AI for system optimizations Agentic AI and AIOps Cutting-edge Developments in Computing for Society and Emerging Applications AI ethics: Privacy, sustainability, biases Emerging applications in education, health, smart cities and emerging markets Pushing the Boundaries of Cross-cutting Computing Challenges Designing for scale and performance Energy efficiency and sustainability Security and privacy, impact of quantum and AI Reliability, resiliency and dependability Algorithmic innovations Benchmarking, performance analysis and modeling We strongly encourage submissions in other emerging fields of computing, and welcome submissions that propose new directions of research and out-of-the-box solutions for grand computing challenges. If in doubt whether your work fits in Computing Frontiers please contact the program co-chairs. </pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-12-07</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-thumbs-up"></i> Best Papers</div> </div> <div class="portlet-content"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">Year</th><th id="yw3_c1">Best Papers</th></tr> </thead> <tbody> <tr class="odd"> <td>2017</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Quality+Optimization+of+Resilient+Applications+under+Temperature+Constraints">Quality Optimization of Resilient Applications under Temperature Constraints</a></td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/1170"><span>3661</span></div> </div></div> </div> 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