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ASAP 2021 : The 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors

Event Date: Jul 07, 2021 - Jul 09, 2021
Abstract Submission Deadline: Mar 29, 2021
Submission Deadline: Apr 05, 2021
Notification of Acceptance: May 21, 2021
Camera Ready Version Due : Jun 11, 2021


The history of the ASAP conference traces back to the International Workshop on Systolic Arrays, organized in 1986 in Oxford, UK. It later developed into the International Conference on Application-Specific Array Processors. With its current title, it was organized for the first time in Chicago, USA, in 1996. Since then, it has alternated between Europe and North-America. The conference covers the theory and practice of application-specific systems, architectures, and processors. The 2021 conference will build upon traditional strengths in areas such as computer arithmetic, cryptography, compression, signal and image processing, network processing, reconfigurable computing, application-specific instruction-set processors, and hardware accelerators.

Call For Paper

General ASAP 2021 Topics of Interest

  • Computer arithmetic
  • Cryptography
  • Compression
  • Network processing
  • Signal and image processing
  • Reconfigurable computing (FPGAs, CGRAs, etc.)
  • Application-specific instruction-set processors
  • Hardware and reconfigurable accelerators
  • Embedded systems and domain-specific solutions
  • Approximate computing
  • Heterogeneous computing, ranging from embedded to HPC systems and data centers
  • Cloud computing infrastructures and acceleration
  • Edge computing, wireless, mobile, and IoT systems
  • Hardware and software architectures for CPS
  • AI architectures, acceleration of machine learning (custom designs or based on FPGAs, GPUs, TPUs)
  • Autonomous computing systems
  • Design methods, tools, and compilers
  • Simulation and prototyping (e.g., validation, performance analysis)
  • System quality attributes (energy efficiency, fault tolerance, security, etc.)
  • Accelerators for computational genomics, finance, big data, and other complex workloads
  • Emerging technologies (e.g., quantum computing, optical computing or communication, 3D devices and interconnects, memristors for storage and logic, in-memory computing)

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