Product how-to: Reliable SoC bus architecture improves performance
Deepak Shankar & Ranjith K R
EDN (September 23, 2014)
This paper describes a modeling project to architect the bus topology and evaluate the read/write traffic patterns for a new multimedia System-On-Chip. Using the selected modeling and simulation exercise, we were able to validate the entire architecture in three months. In the process, we learned about architecture behavior and were able to test a large number of operating scenarios to achieve optimum performance in minimal time.
We have developed the system level model of a multimedia SoC with three different bus architectures using a combination of Advanced Microcontroller Bus Architecture (AMBA) Advanced High-performance Bus (AHB) and AMBA Advanced Peripheral Bus (APB). We have found that systems with both AMBA APB and AHB have proven to be more advantageous with respect to performance and power when there is a constant change in the traffic rate of peripheral devices as opposed to systems with only AMBA AHB or AMBA APB. The pre-built libraries and extensive reports provided an edge to this modeling and simulation approach over other approaches by saving us a substantial amount of time. Also, it raised our level of confidence in the quality of the final SoC including the read/write latency and processing throughput.
To read the full article, click here
Related Semiconductor IP
- Zigbee Transceiver PHY
- Data Flow Architecture IP
- AMBA SPI Controller MRAM Controller
- Ethernet MAC
- Protocol Bridges
Related Articles
- NoC Interconnect Fabric IP Improves SoC Power, Performance and Area
- A Multi-Objective Optimization Model for Energy and Performance Aware Synthesis of NoC Architecture
- Performance verification of a complex bus arbiter using the VMM Performance Analyzer
- A Performance Architecture Exploration and Analysis Platform for Memory Sub-systems
Latest Articles
- A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
- BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
- A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference
- Reducing Instruction-Fetch Energy in RISC-V for Embedded AI Processing via Dynamic and Static Loop Caching
- SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow