What! How big did you say that FPGA is? (Team-design for FPGAs)
Jeff Garrison, Synopsys
EETimes (9/27/2010 1:22 PM EDT)
Field-programmable gate arrays (FPGAs) have become incredibly capable with respect to handling large amounts of logic, memory, digital-signal-processor (DSP), fast I/O, and a plethora of other intellectual property (IP).
At 28-nm, FPGAs deliver the equivalent of a 20- to 30-million gate application-specific integrated circuit (ASIC). At this size, FPGA design tools, which have traditionally been used by just one or two engineers on a project, begin to break down. It is no longer practical for a single engineer, or even a very small design team, to design and verify these devices in a reasonable amount of time.
Of course, project schedules are always too long from a manager’s perspective and always too short from a design and verification engineer’s perspective. As a result, larger design teams, often geographically dispersed, are becoming much more common in the FPGA world. This trend has a significant impact on the tools used to design, verify and manage these increasingly complex electronic devices. This article describes a few of the key issues that should be considered when tackling complex FPGA design among several different engineers or teams of engineers.
To read the full article, click here
Related Semiconductor IP
- NPU IP
- JPEG XL Encoder
- I2C Master/Slave Controller Core
- NVMe Validation Test Suite
- Hybrid Memory Cube Verification IP
Related Articles
- Leveraging FPGAs for Homomorphic Matrix-Vector Multiplication in Oblivious Message Retrieval
- Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs
- Getting the most out of ASIC prototyping with FPGAs
- How to improve design-level security with low-cost non-volatile FPGAs
Latest Articles
- Terracotta: Enabling the Adoption of New DRAM Techniques via a Flexible DRAM Interface and Memory Controller
- A Framework for Accelerating Transformer Inference on RISC-V for Edge AI
- An Interleaved Parallel Dependent Quantization Hardware Architecture for H.266/VVC
- A Formal Security Analysis of CAN XL
- A Secure dToF LiDAR SoC with Dual-Domain Fingerprinting and Event-Driven AFE Circuit Achieving Sensor-Level Attack Resilience