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表格示例

标题1 标题2 标题3
(1,1) (1,2) (1,3)
(2,1) 一些跨列合并(注意两条竖线)
(3,1) (3,2) (3,3)

CCF 推荐会议目录:http://history.ccf.org.cn/sites/ccf/biaodan.jsp?contentId=2903028135780

会议列表

No. CCF类别 简称 重点Section deadline
1 b HOT CHIPSGeneral-Purpose Processor Chips
FPGAs and FPGA-Based Systems
Software for Multi-core, Heterogeneous Systems
2017-3-25
2 b SPAA Parallel and Distributed Algorithms Parallel and Distributed Data Structures
Algorithmic Game Theory Scheduling in Parallel Systems
Parallel/Distributed Issues in Big Data Parallel and Distributed Architectures and I/O
Streaming Algorithms Collaborative Learning Algorithms
Multiprocessor and Multicore Architectures Transactional Memory Hardware and Software
Algorithms for GPUs and Other Alternative Parallel Architectures High-Performance Parallel Computing and Architectures
Green & Power-Efficient Algorithms and Architectures Instruction Level Parallelism and VLSI
Compilers and Tools for Concurrent Programming Fault-tolerance and Reliability
Self-stabilization and Self-organization Security and Privacy in Distributed and Parallel Systems
Parallel/Distributed Computational Learning Parallel Complexity Theory
2017-02-09
3 b PODC distributed algorithms: design, analysis, and complexity
multiprocessor and multi-core architectures and algorithms
shared and transactional memory, concurrency, synchronization
fault-tolerance, reliability, self-organization, self-stabilization
dynamic, adaptive and machine learning distributed algorithms
distributed operating systems, middleware, databases
biological distributed algorithms
high-performance, cluster, cloud and grid computing
context-aware distributed systems
quantum and optics based distributed algorithms
2017-02-15
4 b CGO Code Generation, Translation, Transformation, and Optimization for performance, energy, virtualization, portability, security, or reliability concerns, and architectural support
Dynamic/static, profile-guided, feedback-directed, and machine learning based optimization
Static, Dynamic, and Hybrid Analysis for performance, energy, memory locality, throughput or latency, security, reliability, or functional debugging
Program characterization methods
Efficient profiling and instrumentation techniques; architectural support
Novel and efficient tools
Compiler design, practice and experience
Compiler abstraction and intermediate representations
Vertical integration of language features, representations, optimizations, and runtime support for parallelism
Solutions that involve cross-layer (HW/OS/VM/SW) design and integration
Deployed dynamic/static compiler and runtime systems for general purpose, embedded system and Cloud/HPC platforms
Parallelism, heterogeneity, and reconfigurable architectures
Optimizations for heterogeneous or specialized targets, GPUs, SoCs, CGRA
Compiler-support for vectorization, thread extraction, task scheduling, speculation, transaction, memory management, data distribution and synchronization
2016-09-13
5 b DAC Stopped in 1996
6 b DATE System Specification and Modeling
System Design, Synthesis, and Optimization
Simulation and Validation
Design of Low Power Systems
Power Estimation and Optimization
Green Computing Systems and Applications
Emerging Technologies for Computing Systems
Emerging Memory Technologies and Applications
Architectural and Microarchitectural Design
Compilers and Code Generation for Embedded Systems
Model-based Design and Verification for Embedded Systems
Embedded Software Architectures and Principles
Software and Optimization for MPSoCs, Many-core, GPU-based, or Heterogeneous Systems
2017-09-10
7 b EuroSys Cloud computing and datacenter systems
Database systems and data analytics frameworks
Operating systems
Virtualization and virtualized systems
File and storage systems
Distributed systems
Language support and runtime systems
Parallelism, concurrency, and multicore systems
Real-time, embedded, and cyber-physical systems
Secure systems, privacy, and anonymity-preserving systems
Tracing, analysis, and transformation of systems
2016-10-21
8 b HPDC Operating systems, networks, and architectures
High performance runtime environments
Massively multicore systems, including heterogeneous systems
Datacenter technology, resource virtualization
Programming languages, APIs, and system interoperation approaches
File and storage systems, I/O, and data management
Big data stacks and big data ecosystems
Resource management and scheduling, including energy-aware techniques
Performance modeling, analysis, and engineering
Fault tolerance, reliability, and availability
Operational guarantees, and risk assessment and management
Traditional and emerging applications and services that depend upon high-end computing
2017-01-17
9 b ICCD Computer Systems and Applications
Processor Architecture
Logic and Circuit Design
Electronic Design Automation
Test, Verification, and Security
2017-06-09
10 b ICCAD System-level CAD
Synthesis, Verification, & Physical Design
SOC Analysis, Simulation, & Testing
CAD For Emerging Technologies, Paradigms, & Applications
2017-04-17
11 b ICDCS Big Data Systems and Distributed Data Management and Analytics
Cloud Computing and Data Center Systems
Distributed Operating Systems and Middleware
Distributed Algorithms and Theory
Distributed Fault Tolerance and Dependability
Security, Privacy, Trust in Distributed Systems
Distributed Green Computing and Energy Management
Mobile and Wireless Computing
Edge and Fog Computing
Internet of Things, Smart Cities, and Cyber-Physical Systems
Social Networks and Crowdsourcing
2016-12-05
12 b HiPEAC Processor, memory, and storage systems architecture
Parallel, multi-core and heterogeneous systems
Interconnection networks
Architectural support for programming productivity
Power, performance and implementation efficient designs
Reliability and real-time support in processors, compilers and run-time systems
Application-specific processors, accelerators and reconfigurable processors
Architecture and programming environments for GPU-based computing
Simulation and methodology
Architectural and run-time support for programming languages
Programming models, frameworks and environments for exploiting parallelism
Compiler techniques
Feedback-directed optimization
Program characterization and analysis techniques
Dynamic compilation, adaptive execution, and continuous profiling/optimization
Binary translation/optimization
Code size/memory footprint optimizations
2016-06-01
13 b SIGMETRICS Quantitative design and evaluation studies of:
Computer and communication networks, protocols and algorithms
Wireless, mobile, ad-hoc and sensor networks, IoT applications
Computer architectures, multi-core processors, memory systems and storage networks
Operating systems, file systems and databases
Data processing
Virtualization, data centers, distributed and cloud computing
Mobile and personal computing systems
Energy-efficient computing systems
Real-time and fault-tolerant systems
Software systems and enterprise applications
Social networks, multimedia systems, service-oriented architectures and Web services
Large-scale operational systems
Smart power grids and other cyber-physical systems
Emerging technologies
Methodologies, formalisms, metrics, solution techniques and algorithms for:
Analytical modeling techniques and model validation
Workload characterization and benchmarking
Performance, scalability, power and reliability analysis
Sustainability analysis and power management
System measurement, performance monitoring and forecasting
Anomaly detection, problem diagnosis and trouble-shooting
Capacity planning, resource allocation, run time management and scheduling
Quality of service, total cost of ownership and pricing
Experimental design, statistical analysis, simulation
Performance-oriented applications of game theory, economics and control theory
Big data, machine learning and signal processing
2016-10-11
14 b ICPP Architecture, including processor
memory
I/O
network
instruction-, thread- and data-level parallelism
accelerators & other special-purpose hardware
power-aware/energy-efficient
performance Algorithms, including combinatorial and numerical
scheduling
power- aware/energy-efficient
machine learning
modeling & analysis
scalability Applications, including big data
data analytics
computational science & engineering (e.g., aerospace, arts; biology, finance, geology)
scalability Software, including systems software
middleware
programming models, languages, and environments
compilers
operating systems
run-time systems
resource management
performance modeling and evaluation
2017-03-13
15 b ICS Computer architecture and hardware, including multicore, manycore and multiprocessor systems from small to very large scales, components in such systems such as accelerators, memory systems, storage architectures, interconnection networks at various levels, and heterogeneous systems
Programming and execution models for high-performance computing, including new paradigms, languages, task creation and specification models, domain-specific language/programming support
Static and dynamic compilation: optimization techniques to exploit all aspects of high performance architectures and auto-tuning techniques
Runtime and system software support for high-performance computing, including task and resource management at chip-level, cluster-level, up to the level of large-scale academic/commercial computing service infrastructure, debugging, fault-tolerance, power/energy management, file systems, and performance evaluation/monitoring
New computational algorithms and their applications for high performance computing systems
Workload characterization empirical studies especially those on new scientific and commercial applications that pose significant challenges, and studies of highly experimental real systems
Data intensive high performance computing: system support, algorithm design and application development for high performance computing that deal with large-scale collected data sets
2017-01-18
16 b IPDPS 2016-10-18
17 b FPGA 2016-09-25
18 b ACM SIGMETRICS 2016-10-18 & 2017-01-17
19 b LISA 2017-2-27 & 2017-04-24
20 b MSST 2017-02-24
21 b PACT 2017-03-14
23 b RTAS 2016-10-13
24 b VEE 2016-11-30
25 b CODES+ISSS 硬件软件协同设计,系统综合 2017/3/31
26 b ITC 国际测试会议 24-Feb-17
27 b SOCC ACM云计算会议 5-May-17
1 c CF ACM计算前沿 19-Apr
2 c NOCS ACM/IEEE 片上网络 24-Apr
3 c ASP-DAC 亚洲南太平洋设计自动化 7-Jul
4 c ASAP 专用系统、架构、处理器 3-Apr
5 c CLUSTER 计算集群 7-Jun
6 c CCGRID Big Data, Programming Models
7 c Euro-Par Scheduling and Load Balancing, Cluster and Cloud Computing
8 c ETS
9 c FPL Applications and Benchmarks(关于可编程逻辑电路)
10 c FCCM 有关可编程逻辑电路的应用、架构,可重构计算
11 c GLSVLSI
12 c HPCC Distributed systems and applications, High-performance scientific and engineering computing, Database applications and data mining, Biological/molecular computing 2017-06-01
13 c MASCOTS Distributed and cloud computing, Energy efficient computer systems 2017-04-09
conference.txt · 最后更改: 2019/03/31 06:07 (外部编辑)