Synopsis
FPT conference is the premier conference in the Asia-Pacific region on field-programmable technologies including reconfigurable computing devices and systems containing such components.
Field-programmable devices promise the flexibility of software with the performance of hardware. The development and application of field-programmable technology have become important topics of research and development. Field-programmable technology is widely applied, in high-performance computing systems, embedded and low-power control instruments, mobile communications, rapid prototyping and product emulation, among other areas.
Important Dates
We will be accepting papers in three streams: Journal Track, Conference Track and PhD Forum. Papers submitted to the journal track will not be eligible to be re-submitted to the conference track
Journal Track
Submission Instructions for Journal Track
Date | Event |
30 June 2024 | Submission Deadline |
8 August 2024 | Initial reviews available |
8 September 2024 | Revision 1 Deadline |
11 October 2024 | Notification regarding decision to accept to present at FPT 2024 or move to standard TRETS track |
Conference Track
Submission Instructions for Conference Track
Date | Event |
14 July 2024 | Title and abstract due |
21 July 2024 | Paper submission due |
13 September 2024 | Initial reviews/rebuttal questions available |
20 September 2024 | Rebuttal responses due |
11 October 2024 | Notification |
PhD Forum
Submission Instructions for Ph.D. Forum
Date | Event |
15 September 2024 | Title and abstract due |
22 September 2024 | Submission Deadline |
11 October 2024 | Notification |
13 September 2024 | Initial reviews/rebuttal questions available |
Scope and Expectations
Submissions are solicited on new research results and detailed tutorial expositions related to field-programmable technologies, including but not limited to:
- Tools and Design Techniques for field-programmable technology including placement, routing, synthesis, verification, debugging, runtime support, technology
mapping, partitioning, parallelization, timing optimization, design and run-time environments, high-level synthesis (HLS) compilers, languages and modeling techniques,
provably-correct development, intellectual property core-based design, domain-specific development, hardware/software co-design. - Architectures for field-programmable technology including field-programmable gate arrays, complex programmable logic devices, coarse-grained reconfigurable arrays,
field- programmable interconnect, field-programmable analogue arrays, field-programmable arithmetic arrays, memory architectures, interface technologies, low-power
techniques, adaptive devices, reconfigurable computing systems, high-performance reconfigurable systems, evolvable hardware and adaptive computing, fault tolerance and
avoidance. - Device technology for field-programmable logic including programmable memories such as non- volatile, dynamic and static memory cells and arrays, interconnect
devices, circuits and switches, and emerging VLSI device technologies. - Applications of field-programmable technology including accelerators for biomedical / scientific / neuro-morphic computing and machine learning, network processors,
real-time systems, rapid prototyping, hardware emulation, digital signal processing, interactive multimedia, machine vision, computer graphics, cryptography, robotics,
manufacturing systems, embedded applications, evolvable and biologically-inspired hardware. - Education for field-programmable technology including courses, teaching and training experience, experiment equipment, design and applications.
Note that simply implementing an application using an FPGA is not considered a sufficient research contribution. Application-based papers should emphasize novel design
techniques, novel use of embedded resources, or clearly articulated and measured system performance benefits.
Note that simply implementing an application using an FPGA is not considered a sufficient research contribution. Application-based papers should emphasize novel design techniques, novel use of embedded resources, or clearly articulated and measured system performance benefits.