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pages/Conference Survey.md

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+- # DAC
+  collapsed:: true
+	- ## Keynote 2023
+		- **Corsi e Ricorsi: Here We Go Again**
+			- apply AI to EDA, 3D IC and packaging
+		- **Quantum Computing Roadmap**
+		- **Taking AI to the Next Level**
+			- commercial AI products, data privacy and ownership, the next wave in the AI revolution
+		- **Life Post Moore's Law: The New CAD Frontier**
+			- New CAD tools which enable others to extend successful platforms (due to the complexity of building new silicon hardware from scratch), highly capable platforms as the foundation (like mobile and appstore)
+	- ## Keynote 2022
+		- Advancing EDA Through the Power of AI and High-performance Computing
+			- EDA acceleration with HPC support?
+		- Computational Software and the Future of Intelligent Electronic System Design
+			- Seems to be AI for EDA?
+		- Machine Learning for Real: Why Principles, Efficiency, and Ubiquity Matter
+			- develop rigorous, scalable machine learning guided by information theory to create models that are predictive, power-efficient, and cost-effective
+		- Strange Loops in Design Technology
+			- Seems to be some kind of survey-like stuff
+	- ## Keynote 2021
+	- The Potential of Machine Learning for Hardware Design
+		- ML's influence on HW design
+	- GPUs, Machine Learning, and EDA
+		- applications of GPUs and ML to EDA tools and chip design, acceleration and new automation tasks
+	- When the Winds of Change Blow, Some People Build Walls and Others Build Windmills
+		- (according to his video), cloud computing for EDA, SaaS business model, GPCPU DSA Open-arch, open-source ecosystem for EDA and IC
+	- AI, Machine Learning, Deep Learning: Where are the Real Opportunities for the EDA Industry?
+- # PPoPP
+  collapsed:: true
+	- ## Keynote 2023
+	- PyTorch 2.0 — the Journey to Bringing Compiler Technologies to the Core of PyTorch
+		- DL compiler?
+	- GPU Communication Requires Rethinking Abstractions
+		- costly collective communication, new abstraction for SW to reduce such cost
+	- Addressing Challenges of Core Microarchitecture Research
+		- the need for continued research on micro-arch, e.g. branch-prediction instruction-fetch
+	- ## Keynote 2022
+	- Many Real-World Challenges for Effective Programming of Heterogeneous Systems
+		- Khronos SYCL, programming for heterogeneous system
+	- Compiler 2.0
+		- underlying principles of compiler change little, apply new tech into next gen compiler
+	- Integration, Specialization and Approximation: the “ISA” of Post-Moore Servers
+		- improve scalability of servers through new design instead of silicon-density
+	- ## Keynote 2021
+	- Atomicity without Trust
+		- ???, maybe some kind of new consistency model
+	- Data Layout and Data Representation Optimizations to Reduce Data Movement
+		- compiler optimization, data layout, reduce data movement
+	- A Journey to a Commercial-Grade Processing-In-Memory (PIM) Chip Development
+		- commercial-grade PIM developments and challenges
+	- ## Main Program 2023
+		- principle, programming, practice, parallelism, decomposition (kind of ML task), kernel, machine learning
+	-
+- # HPCA
+  collapsed:: true
+	- ## Keynote 2023
+		- Same as PPoPP 2023
+	- ## Keynote 2022
+		- Same as PPoPP 2022
+	- ## Keynote 2021
+		- Ref to CGO and PPoPP
+	- ## Main Program
+	- Neural Networks and Accelerators, NVRAM and Hybrid Memory, Caching and Memory Management, Datacenters and HPC, Applications, Security, GPUs, PIMs and Persistent Memory, Quantum and FPGAs， Cloud and Edge Computing, Encryption and SGX, Reliability, Industry Track Session, NICs and Networks, Microarchitecture and memory Systems
+	- Accelerators, Security, At scale, Quantum, Simulation, Synthesis, Cache, Traditional Architecture, NVM, Memory, Storage, Network On Chip
+- # MICRO
+  collapsed:: true
+	- ## Keynote 2022
+	- The RISC Journey From One to a Million Processors
+		- RISC, many-core processor
+	- Democratizing Customized Computing
+		- FPGA HLS optimization
+	- The Path to Quantum at Scale
+		- cloud computing on quantum
+	- ## Keynote 2021
+	- Designing a High Performance Core
+		- Introduction to AMD Zen3's architecture
+	- Accelerated Data Management Systems Through Real-Time Specialization
+		- Database on GPU, code gen optimization for GPU OLAP, balance between data and task
+	- Thinking Outside the Die: Architecting the ML Accelerator of the Future
+- # ASPLOS
+  collapsed:: true
+	- ## Keynote 2023
+		- Pushing the Limits of Scaling Laws in the Age of Generative Models
+			- HW design with generative models
+		- Direct Mind-Machine Teaming
+			- architecture support for human-computer interface
+		- Language Models - The Most Important Compute Challenge of Our Time
+	- ## Keynote 2022
+		- Enabling Trustworthy Autonomous Systems with Uncertainty-Tracking Computer Architectures
+			- uncertainty-tracking computing
+		- Hey, you got your distributed algorithm in my ML!
+	- ## Keynote 2021
+		- The Golden Age of Compiler Design in an Era of HW/SW Co-design
+			- LLVM & RISCV
+		- From Software Analytics to Cloud Intelligence – Reflection and Path Forward
+		- Data Science to fight against COVID-19
+	- Systems for ML, Shared Memory/Mem Consistency, IoT/embedded/Mobile, Compiler, GPUs, Clouds/Datacenters, Sustainability, Accelerators, Persistence, Design Tools, Near data computing, Tensor computing, Debugging, Storage, Machine learning, Quantum, Networking, Graphs, Deep learning systems, Software security and privacy, OS/virtualization, Disaggregated memory, Distributed systems, Hardware security
+	- Memory Systems, Flow, Microservices, Pages and Machine Architecture, Language and Systems, Towards Improved Throughputs, Tools and Frameworks, Mapping and Management of Quantum and Cloud, Persistence, Quantum Abstractions, Systems Software, Beyond the Pixels, Races and Concurrency, Robots, Optimization, and Robo-optimization, Solid State Drives, Security, Better Hardware through Compilers, Data Driven Optimization, Supporting Hardware Parallelism, Neural Net Optimization, Beyond Neural Nets
+- # ISCA
+  collapsed:: true
+	- ## Keynote 2023
+		- Computing in the Foundation Model Era
+			- LLM and computing system design, real-time ML
+		- Taking on the World's Challenges: The Role of Computing Research and Innovation
+			- tackle climate change, communication privacy, academia industry and governments
+		- Constructing and Deconstructing: Employing Cryptographic Recipe in the ML Domain
+	- ## Keynote 2022
+		- Enabling the Immersive Era of Computing
+			- extended reality(XR) systems
+		- Future Quantum Hardware
+			- quantum error correction
+		- Trust: the final frontier
+			- trustable computing system, blockchain, business model
+	- ## Keynote 2021
+	- From Transistors to Enclaves: How Architects Have Helped Secure Digital Assets, Health Records, and So Much More
+		- at-scale, at-speed confidential computing
+	- Genie: An Open Privacy-Preserving Assistant with Deep Learning
+		- virtual assistant, voice interface toolset, privacy in IoT
+	- The Era of Ubiquitous AI: A Call-to-Arms for Architects
+		- AI for Arch(unbengable)
+	- Security, Graph applications, PIM, Industry, PM, Quantum, Microarchitecture and Parallelism, Novel arch, Learning, Datacenter and sustainability, Embedded,
+- # USENIX ATC
+  collapsed:: true
+	- ## Keynotes
+		- 2023: Sky Computing
+			- cloud computing ecosystem
+		- 2022: Surprise-inspired Networking
+		- 2022: Trustworthy Open Source: The Consequences of Success
+		- 2022: The Computing and Information Science and Engineering Landscape: A Look Forward
+			- CISE's work, which is a directorate at NSF
+		- 2021: Distributed Trust: Is “Blockchain” the answer?
+		- 2021: AI in Finance: Scope and Examples
+		- 2021: It's Time for Operating Systems to Rediscover Hardware
+	- Security and Privacy, Graphs, Deduplication, Placement and Fault Tolerance, Updating Code, Serverless Cloud and Microservices, Troubleshooting and Measurement, Distributed Storage, Hardware and Software for Security and Performance, Networking, KV Store, VM, PM, Offloading and Scheduling, Kernel and Concurrency, ML, GPU
+	- Containers, OS, Compilers and PL, Transaction
+- # EuroSys
+  collapsed:: true
+	- Concurrency, Software security, ML for Systems, Trusted Execution, Edge, Embedded, Operating Systems, Systems for ML, PM, SSDs & I/O, FaaS(Function as a service), Serverless, Cloud Computing, Graph, Networking, Debugging, 
+	  id:: 64c525ea-fff2-40e6-addd-f87b833bfd4d
+- # SC
+  collapsed:: true
+	- Computational Biology Applications, HPC Network Architecture, Quantum Computing and Simulation, Algebraic Applications, Probabilistic Computing and Inference, Resource Management, Fault-Tolerance and Data Compression, Matrix Computation Algorithms, Memory Correctness and Optimization, Hardware-Efficient ML, Performance Modeling Scaling and Characterization, Serverless Computing, Dealing with Software Dependencies and Federated Learning, Graph Algorithms, HPC and ML, Graphs and GPUs, Storage, Using Compilers for Optimization, Compression, Performance Improvement, Task Scheduling, Fast and Efficient Model Training, Simulations and Modeling, State of the Practice, HPC Architecture and Architectural Support, Memory and Storage Performance
+- # SoCC
+  collapsed:: true
+	- ## Keynote 2022
+		- Scalable Input Data Processing for Resource-Efficient Machine Learning
+		- Declaring the Era of Programmable Clouds
+			- Compiler stack for distributed systems
+		- Systems for ML and ML for Systems: A Virtuous Cycle
+			- Dataflow accelerator
+		- Snowflake Data Cloud Architecture: How public changes everything
+			- ???
+	- ## Keynote 2021
+		- Networking and Cloud: A Match Made in Heaven
+			- SDN, net virtualization, programmable HW, HPC net, net automation, for cloud computing
+		- The Future of Cloud Data: Challenges and Research Opportunities
+		- Leveraging Data to Improve Cloud Services
+		- Accelerating the cloud with quantum
+			- Azure cloud quantum computing(again?)
+	- Resource Management, Serverless, Cloud infrastructure, ML and analytics, Virtualization, Fault tolerance and testing, Deploy, Security, Energy awareness
+- # DATE
+  collapsed:: true
+	- ## Keynote 2023
+	- Building the metaverse: Augmented reality applications and integrated circuit challenges
+		- HW for AR
+	- The cyber-physical metaverse – where digital twins and humans come together
+	- ## Keynote 2021
+	- Quantum Supremacy Using A Programmable Superconducting Processor
+	- Superconducting Quantum Materials and Systems (SQMS) – a new DOE National Quantum Information Science Research Center
+	- Sustainable High-Performance Computing Via Domainspecific Accelerators
+	- Cyber-Physical Systems for Industry 4.0: An Industrial Perspective
+	- Autonomy: One Step Beyond on Commercial Aviation
+		- auto pilot areoplane?
+	- Privacy this unknown - The new design dimension of computing architecture
+		- Trustworthy computing
+- # ICCAD
+  collapsed:: true
+	- ## Keynote 2022
+		- DEMOCRATIZING IC DESIGN AND CUSTOMIZED COMPUTING
+			- HLS & DSA
+		- AUTOMATED CRYPTOGRAPHICALLY-SECURE PRIVATE COMPUTING: FROM LOGIC AND MIXED-PROTOCOL OPTIMIZATION TO CENTRALIZED AND FEDERATED ML CUSTOMIZATION
+			- cryptographically-secure deep learning on encrypted data
+		- ATOMS TO SILICON TO SYSTEMS HYPER-CONVERGENCE: THE WAY FORWARD IN THE ANGSTROM ERA
+	- Compiler/System for Efficient ML, Partitioning and Physical Optimization, Accelerators, Reliability Defects and Patterning, Verification, Lower Power Edge Intelligence, Chiplet, Architecture for DNN, Synthesis Infrastructure and ML Assist, GPU routing, HW security, Reconfigurable Computing, VLSI routing and layout,
+- # PACT
+  collapsed:: true
+	- Parallel Architectures and Compilation Techniques
+	- ## Keynote 2022
+		- Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design
+		- MemComputing: Fundamentals and Applications
+			- kind of new computing paradigm (like quantum)
+		- AI Acceleration: Co-optimizing Algorithms, Hardware, and Software
+	- ## Keynote 2021
+		- Making Sparse Array Programming On Par With Dense
+			- Compiler?
+	- Compilers, ML Compilers, Heterogeneous Systems, Near-memory, GNNs optimization, Memory, Sparse matrix, Graph, GPU, Parallelism
+- # CODES ISSS
+  collapsed:: true
+	- ## Keynote 2023
+	- Enabling the Era of Immersive Computing: A Rich Agenda for Embedded Systems Research
+	- Advanced silicon technologies enabling next generation of embedded and AI architectures
+	- The quest for resilient embedded systems in the era of machine learning
+- # SIGKDD
+  collapsed:: true
+	- ## Keynote 2022
+		- The Power of (Statistical) Relational Thinking
+			- Statistical Relational Learning (SRL)
+		- AI for social impact: Results from deployments for public health and conversation
+		- Beyond Traditional Characterizations in the Age of Data: Big Models, Scalable Algorithms, and Meaningful Solutions
+	- ## Keynote 2021
+		- On the Nature of Data Science
+			- algorithm: locality-sensitive hashing, counting distinct elements
+		- Data Science for Assembly Engineering
+		- Safe Learning in Robotics
+			- nav in unknown env, people avoidance, safety
+		- Automated Mechanism Design for Strategic Classification
+	- Graphs and Networks
+	  Interdisciplinary Applications: Biology, Climate and Physics
+	  Causal Analysis and Explainability
+	  Data Privacy, Ethics and Data Science for Society
+	  Adverserial Learning and Information Security
+	  Graphs and Networks
+	  Interdisciplinary Applications: Medicine, Humanities and Social Good
+	  Anomaly Detection
+	  Spatial-Temporal Data
+	  Classification and Clustering
+	  Deep Learning Applications
+	  Deep Learning: New Architectures and Models
+	  Ethics, Explainability and Society
+	  Graph Mining
+	  Time Series and Spatiotemporal Data
+	  Deep Learning Applications
+	  Online Learning and Transfer Learning
+	  Few Shot Learning
+	  Text Mining
+	  Graph Mining
+	  Mining, Inference and Learning
+	  Recommendation Systems
+	  Graph and Networks
+	  Graph Mining
+	  Mining, Inference and Learning
+	  Recommendation Systems
+	  Unstructured and Temporal Data
+	  Ethics, Explainability and Fairness
+	  Potpourri Applications
+	  Mining, Inference, and Learning
+	  Data Cleaning, Transformation and Integration
+	  Clustering, Imbalanced Data and Tensors
+	  User Modeling, Knowledge and Ontologies, Web and Commerce
+	  Time Series and Streaming Data
+- # SIGMOD
+	- ## Keynote 23
+		- 49 Years of Queries
+			- SQL
+		- Mixed Methods Machine Learning
+	- ## Keynote 22
+		- Reflections on a Career in Computer Science
+		- On A Quest for Combating Filter Bubbles and Misinformation
+			- detecting dense subgraphs, competitive influence maximization
+		- Is Data Management the Beating Heart of AI Systems?
+			- Data-Centric AI, Foundation models, AI Robustness
+	- Time Series and data series; Privacy, security and encryption, blockchains; Transactions & Indexing; Sampling and cardinality estimation; Time series and temporal data; Differential privacy; Sampling, cardinality estimation, uncertainties and probabilities; Clustering; Joins; Learning, embeddings and analytics on graphs; Data Models, Semantics, and Integration; Transactions; Random walks and reachability on graphs; Streams; Spatial and temporal data; Query Optimization; DB4ML; Subgraph matching and counting; Coordination, distribution and clouds; Spatial and temporal data; ML4DB and Outlier detection; Knowledge graphs and data integration; Indexing and estimation; Big Data analytics and data science pipelines; Indexing and similarity search; Graphs; Modern hardware, performance, and benchmarking; Data mining and discovery; Compression and fairness; Diffusion and Propagation in Graphs; Optimizing data systems
+- # ACM MM
+	- ## Keynote 2022
+		- Grounding, Meaning and *Foundation Models*: Adventures in *Multimodal* Machine Learning
+		- How Alexa helps customers complete tasks with verbal and visual guidance in the Alexa Prize TaskBot Challenge
+			- multi-modal interactions
+		- Data Science against COVID-19
+	- ## Keynote 2021
+		- Video Coding for Machine
+			- video encode format for ML
+		- Semantic Media Conversion: Possibilities and Limits
+			- convert information reliably from one medium to another(image to text, etc)
+		- Large-scale Learning from Multimodal Videos
+		- Large-scale Multi-Modality Pretrained Models: Applications and Experiences
+		- AI and the Future of Education
+		- Digital Human in an Integrated Physical-Digital World
+			- 皮套人，绷
+	- Multimodal Fusion, Cross-modal, Multimodal Modeling, Multimedia computing, Weak-supervised Learning, Captioning, Document analysis, Art & multimedia, Recommendation, Image proc & enhance,  Geometry, 3D and Multimedia, Zero/Few-shot Learning, Video Streaming and Quality, Content Generation and Experience, Multimedia in the Real World,
+- # ICASSP
+	- ## Keynote 2021
+		- Thinking Beyond 5G and Road to 6G: Technologies and Standards
+		- Transforming Hearing Aids into Multifunctional Health and Communication Devices
+		- Quantum Computing and Implications for Signal Processing
+		- Advancing Video Collaboration and Augmented Reality through Wireless, Edge, and Cloud
+		- The Versatile Video Coding Standard: Application Perspectives
+		- The Blockchain Evolution, Ecosystem and Landscape
+	- Speech recognition synthesis enhancement, Language modeling understanding, Audio and speech source separation, Object detection, Deep learning, BCI, Biomedical signal processing, Speaker recognition, Dialogue system, Music signal analysis processing synthesis, Image & video coding, DL for multimedia proc, Neural signal processing, Compressed sensing and learning, Voice conversion, SP for network, Information theory coding and security, Super resolution, Active noise control, Echo reduction and Feedback reduction, ML for image proc, Zero-shot learning, Federated learning, Estimation theory and methods
+- # SIGCOMM
+	- ## Keynote 22
+		- Networking: The Newest Civil Engineering Challenge
+	- Datacenter Networking, 5G Networks, Congestion Control, Wide Area Networks, Testing and Verification, Machine Learning, Monitoring and Measurement, Sensing and Wireless Communication, Programmable Data Planes, Denial of Service Defense and Storage Networks, Host Networking and Video Delivery, Distributed Systems and Network Support, Networking for ML
+- # MobiCom
+	- ## Keynote 22
+		- Telecommunications meets the Cloud: Science, Technology & Future(Azure for Operator, telecom computing on cloud)
+		- Mobile Sensing and Road Safety: The Road Traveled and the Road Ahead
+		- Creating intelligent mobile systems: From melding bits and biology to democratizing healthcare
+		- For the First Time: LoRaWAN is enabling sensing at scale (IoT protocol)
+	- ## Keynote 21
+		- Wireless Networking, Security, and Sensing above 100 GHz
+		- Industry 4.0 and the Ants in the Kitchen (industrial 3D print)
+		- AI-EDGE: An Institute For Future Edge Networks and Distributed Intelligence (a boring intro to his new institute)
+	- Comm systems, Sensing, Mobile vision, Edge computing, Localization, Security, ML, Wireless, Cellular systems, LoRa
+- # INFOCOM
+	- Cloud, Edge computing, Wireless, Mobile learning, Security, Federated learning, LoRa & LPWAN, Satellite network, Internet routing, mmWave, Video streaming, Data center, Memory/Cache, Internet measurement, 5G, Theory, Distributed ML, MIMO, IoT, Performance,
+- # NSDI
+	- RDMA, GPUs, RPC, Remote memory, Congestion control, Distributed, Wireless, Cloud, Data center, Synthesis and Formal Methods, System for learning, Privacy & security, Video, IoT, Serverless and Network Functions, Cellular, Physical layer, Testing, Programmable, Transport layer,
+- # ACL
+	- ## Keynote 23
+		- Two Paths to Intelligence (LLM, digital and biological intelligence)
+		- Large Language Models as Cultural Technologies: Imitation and Innovation in Children and Models (LLM in psychology)
+	- ## Keynote 22
+		- Language in the human brain (neural biology in language)
+- # CVPR
+	- ## Keynote 23
+		- Revisiting Old Ideas With Modern Hardware
+		- Modeling Atoms to Address Our Climate Crisis
+	- ## Keynote 22
+		- Learning to see the human way
+		- Toward Integrative AI with Computer Vision (unified representation, semantic, )
+		- Understanding Visual Appearance from Micron to Global Scale
+- # NeurIPS
+	- ## Keynote 22
+		- Could a Large Language Model be Conscious?
+		- Algorithms On the Bench: Examining Validity of ML Systems in the Public Sphere
+		- Conformal Prediction in 2022
+		- The Data-Centric Era: How ML is Becoming an Experimental Science
+		- The Forward-Forward Algorithm for Training Deep Neural Networks
+		- Interaction-Centric AI
+	- ## Keynote 21
+		- The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice
+		- Do We Know How to Estimate the Mean?
+		- Optimal Transport: Past, Present, and Future
+		- The Collective Intelligence of Army Ants, and the Robots They Inspire
+- # ICML
+	- Towards a Mathematical Theory of Machine Learning
+	- Solving the Right Problems: Making ML Models Relevant to Healthcare and the Life Sciences
+	- Synthetic Control Methods and Difference-In-Differences
+-