Vendor: LeWiz Communications, Inc. Category: HBM

HBM Memory Controller

Produced by DRAM manufacturers such as Samsung and Micron, High Bandwidth Memory or HBM, provides users with high bandwidth, low …

Overview

 Produced by DRAM manufacturers such as Samsung and Micron, High Bandwidth Memory or HBM, provides users with high bandwidth, low power consumption and large memory size. HBM is most commonly used in data intensive applications such as AI, image processing, vector processing and others. AI algorithms such as deep neural networks (DNN) store inputs and massive weight parameters, activations as the input traverses the neural network. DNN training requires large quantity of activation information to be stored and retrieved very quickly for multi-pass processing. A 50-layer ResNet network may require millions of weight parameters and millions of activations to be stored per pass. Floating point (and its precision level) further significantly increases the size of the memory by 100’s of times. And for high performance, these different types of stored information must be fetched and fed into the neural network at high speed. Memory bandwidth is a major challenge in designing processing chips for data intensive applications. HBM helps to alleviate such problems. Chips such as GPU, application accelerators, vector processors require HBM controller to access the high bandwidth available from HBM. LeWiz offers HBM Controller IP core for designing ASIC and processing chips.

HBM is a JEDEC standard. It uses 3D stacking technology with through silicon vias to decrease the signal travel time (lowers the latency), increases memory density per area. Thus, HBM has smaller surface area and board space than other DRAM types. Due to its small surface area and high performance, HBM is a key integration for aerospace and commercial applications. HBM using the LeWiz HBM Controller can support error check and correction (ECC) with memory scrubbing capability – offering fault tolerant capability suitable for high-reliability and space applications. For radiation environment, space versions with different levels of tri-modular redundancy (TMR) are also available.

The HBM Controller has 16 parallel channels for data access. Each channel is 256-bit wide. In the backend it uses the DFI standard for interfacing to DRAM PHYs. In the front-end, it supports network-on-chip or standard, well-known bus AXI-stream for on-chip interface.

In addition to HBM, the IP core also supports DDRx DRAM types. Available in source code or netlist format. A test bench and the documents are also provides to help users in their application. 

Key features

  • Low latency, high bandwidth
  • Supports HBM or DDRx memory types
  • 16 parallel access channels
  • Multi, independent internal queues
  • Bus width configurable from 64 bits to 256 bits
  • Support large block data transfers (2048 bytes)
  • Support DFI standard for DRAM PHY interfacing
  • Low power mode and self-refresh
  • TMR fault tolerant
  • Hamming code ECC
  • Memory scrubbing
  • Supports multi-stack HBM configuration
  • Advanced Peripheral Bus (APB) interface for core configuration

Block Diagram

Benefits

  • Fault-tolerant and high bandwith
  • Multi-channel - data  parallelism
  • NOC or AXI-stream interface
  • Support HBM devices
  • Support DDR
  • ECC, memory scrubbing, TMR

Specifications

Identity

Part Number
HBM Memory Controller
Vendor
LeWiz Communications, Inc.
Type
Silicon IP
Controller / PHY
Controller

Files

Note: some files may require an NDA depending on provider policy.

Provider

Learn more about HBM IP core

Reducing Avoidable Memory Trips In HBM Systems

As AI and high-performance SoCs increasingly rely on HBM, memory bandwidth alone is no longer enough to maximize performance. This article discusses why the intelligent data movement and cache efficiency are critical to unlocking the full benefits of HBM-based architectures.

Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference

LLM inference is increasingly memory-bound, and HBM cost per GB now dominates system cost. Today’s HBM stacks include short on-die ECC, which tightens binning, raises price, and locks reliability policy inside the device. This paper asks a simple question: can we tolerate a much higher raw HBM bit error rate (BER) and still keep end-to-end correctness and throughput, without changing the HBM PHY or the fixed 32B transaction size?

High Bandwidth Memory Evolution from First Generation HBM to the Latest HBM4

HBM4 is the latest generation of the High Bandwidth Memory (HBM) that has become analogous to the Artificial Intelligence (AI) boom that is everywhere in today’s world. HBM is also increasingly being used in other applications like Data centers, autonomous driving systems, servers, cloud computing just to mention few domains where bandwidth and performance in a key requirement.

Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure

High-Bandwidth Memory (HBM) delivers exceptional bandwidth and energy efficiency for AI workloads, but its high cost per bit, driven in part by stringent on-die reliability requirements, poses a growing barrier to scalable deployment. This work explores a systemlevel approach to cost reduction by eliminating on-die ECC and shifting all fault management to the memory controller.

Frequently asked questions about HBM Interface IP

What is HBM Memory Controller?

HBM Memory Controller is a HBM IP core from LeWiz Communications, Inc. listed on Semi IP Hub.

How should engineers evaluate this HBM?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this HBM 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.

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