Verifying large models in RTL simulation
Debra Klopfenstein, Silicon Graphics Inc.
EE Times
(10/31/2005 9:00 AM EST)
Verifying that a multi-million gate ASIC will function according to its specification prior to being built into a system composed of hundreds or thousands of additional ASICs plus thousands of other components requires creative, innovative ASIC design functional verification methods.
A super-computer design using a cache-coherent, non-uniform memory access (ccNUMA) memory architecture system is an example of a huge system design containing thousands of ASICs. In such a memory architecture system, thousands of processor cores communicate concurrently with a single shared global address space over the physically-distributed shared main memory. ccNUMA architectures are notoriously difficult to design and verify due to their huge size and complexity.
This paper is an introduction to one method for ASIC verification developed at Silicon Graphics Inc. (SGI). It is impossible to verify that a single ASIC will operate in a system containing thousands of ASICs by simulating thousands of multi-million RTL ASIC designs because HDL simulators cannot hold thousands of RTL ASIC designs in simulation memory, and RTL ASIC simulation speed becomes impossibly slow, even when as few as 8 multi-million gate RTL ASICs are simulated together.
Instead, engineers can verify that an ASIC will function in a huge environment by simulating both the RTL ASIC design, representing a single node in the total system, and a huge ccNUMA behavioral model, representing the remaining thousands of nodes in a full ccNUMA architecture.
After reading this article, you should come away with a basic understanding of some of the infrastructure of a huge simulation model. You should also have a basic understanding of the model’s interface to the RTL design.
EE Times
(10/31/2005 9:00 AM EST)
Verifying that a multi-million gate ASIC will function according to its specification prior to being built into a system composed of hundreds or thousands of additional ASICs plus thousands of other components requires creative, innovative ASIC design functional verification methods.
A super-computer design using a cache-coherent, non-uniform memory access (ccNUMA) memory architecture system is an example of a huge system design containing thousands of ASICs. In such a memory architecture system, thousands of processor cores communicate concurrently with a single shared global address space over the physically-distributed shared main memory. ccNUMA architectures are notoriously difficult to design and verify due to their huge size and complexity.
This paper is an introduction to one method for ASIC verification developed at Silicon Graphics Inc. (SGI). It is impossible to verify that a single ASIC will operate in a system containing thousands of ASICs by simulating thousands of multi-million RTL ASIC designs because HDL simulators cannot hold thousands of RTL ASIC designs in simulation memory, and RTL ASIC simulation speed becomes impossibly slow, even when as few as 8 multi-million gate RTL ASICs are simulated together.
Instead, engineers can verify that an ASIC will function in a huge environment by simulating both the RTL ASIC design, representing a single node in the total system, and a huge ccNUMA behavioral model, representing the remaining thousands of nodes in a full ccNUMA architecture.
After reading this article, you should come away with a basic understanding of some of the infrastructure of a huge simulation model. You should also have a basic understanding of the model’s interface to the RTL design.
To read the full article, click here
Related Semiconductor IP
- Mesochronous Bridge for PCIe/CXL
- AI-native GPU
- OpenGMSL Verification IP
- OpenGMSL Leaf IP
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
Related Articles
- SOC: Submicron Issues -> Large PLDs need own physical models
- Sequential equivalence checking for RTL models
- Leveraging system models for RTL functional verification
- Reusable Device Simulation Models for Embedded System Virtual Platforms
Latest Articles
- FlexSpIM: An Event-Based Digital Compute-In-Memory Accelerator with Flexible Operand Resolution and Layer-Wise Hybrid Stationarity
- MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding Accelerators
- Analog Pin Directionality as an Exfiltration Attack Surface in Mixed-Signal ICs
- SIMT-Aware Lockstep Verification and Functional-Coverage Closure Methodology for an Open-Source RISC-V GPGPU: A UVM 1.2 Environment
- Efficient Hardware Information-Flow Tracking for Pre-Silicon Security Testing