Using the ARM Cortex-R4 for DSP, part 1: Benchmarks
Part 2 describes the optimization techniques BDTI used for implementing DSP algorithms on the Cortex-R4. It will be published Monday, November 26. For more analysis of ARM cores, see Can the ARM11 Handle DSP? In 2004, ARM announced its newest generation of licensable cores, called the "Cortex" family. Cortex cores span a wide range of performance levels, with Cortex M-series cores at the low end, Cortex R-series cores providing mid-range performance, and the Cortex A-series applications processors offering the highest performance. The first Cortex core to be announced was the Cortex-M3, and since then ARM has announced several others, including the Cortex-A8 and A9, the Cortex-M1, and the Cortex-R4.
The Cortex-R4 targets moderately demanding applications such as hard disk drives, inkjet printers, automotive safety systems, and wireless modems. It is marketed as a higher-performance replacement for the older ARM9E core. BDTI recently completed a benchmark analysis of the ARM Cortex-R4 core and is now releasing the first independent signal processing benchmark results for this processor. In this article, we'll take a look at its benchmark results and compare its performance to that of other ARM cores (including the ARM11, another moderate-performance core) and selected competitors.
To read the full article, click here
Related Semiconductor IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
- RISC-V Debug & Trace IP
Related Articles
- Architecture-oriented C optimization, part 1: DSP features
- Performance optimization using smart memory controllers, Part 1
- Top 5 Reasons why CPU is the Best Processor for AI Inference
- Designing with ARM Cortex-M based SoC Achitectures: Part 2 - Some typical applications
Latest Articles
- ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
- COVERT: Trojan Detection in COTS Hardware via Statistical Activation of Microarchitectural Events
- A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
- Veri-Sure: A Contract-Aware Multi-Agent Framework with Temporal Tracing and Formal Verification for Correct RTL Code Generation
- FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design