Compute Express Link (CXL) FPGA IP
Industry's first FPGA-based hardened CXL IP solution for Type 1, 2, and 3 devices.
Overview
Industry's first FPGA-based hardened CXL IP solution for Type 1, 2, and 3 devices.
First FPGA to pass CXL Consortium Compliance Program (up to 32 GT/s speed).
CXL Protocol Hard IP Functionality Accelerates a Wide Range of Data-Centric Workloads
- Accelerated Computing: CXL seamlessly connects FPGAs to accelerators and GPUs, enhancing performance in compute-intensive workloads like AI, machine learning, data analytics, and scientific simulations.
- Memory Expansion: CXL enables FPGA-based systems to extend their memory capacity by connecting to CXL-compatible memory devices, improving performance in memory-bound applications like memory databases and large-scale data processing.
- Data Processing: FPGAs with CXL support are used in data processing workloads, including real-time data analytics, financial modeling, and high-frequency trading, where low latency and high bandwidth are critical.
Key features
- Fully integrated CXL IP solution with PCIe 5.0 x16 (32 GT/s) performance.
- CXL 1.1 compliant IP that combines both hard and soft resources:
- R-Tile Hard IP (PHY IP) reduces logic resourcing and simplifies timing closure.
- Soft wrapper for added design flexibility and easy integration.
- Validated with 4th and 5th Gen Intel® Xeon® Scalable Processors.
- Compute Express Link Consortium compatible with CXL certification software (CXL_CV_app).
- CXL protocol support: CXL.io, CXL.mem, CXL.cache.
- Device type support: Type 1, 2, and 3.
- CXL 1.1. IP enhanced with 2.0 features and functionality.
- Flexible device-attached memory subsystem architecture:
- Allows FPGA developer to mix and manage different memory types for maximum scalability and application fit.
Block Diagram
Specifications
Identity
Files
Note: some files may require an NDA depending on provider policy.
Provider
Learn more about CXL IP core
Powering Up Efficiency: A Deep Dive into CXL L0p and its Verification
Demystifying CXL Memory Interleaving and HDM Decoder Configuration
From GPUs to Memory Pools: Why AI Needs Compute Express Link (CXL)
cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications
Boosting AI Performance with CXL
Frequently asked questions about CXL IP cores
What is Compute Express Link (CXL) FPGA IP?
Compute Express Link (CXL) FPGA IP is a CXL IP core from Altera listed on Semi IP Hub.
How should engineers evaluate this CXL?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this CXL IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.