Digital IP Cores
and Subsystems

Our family of microcontroller and microprocessor related cores includes capable and competitive 32-bit BA22s and the best-available set of proven 8051s.

32-bit Processors
BA2x Family Overview

Secure Processors
Geon - Secure Execution

Application Processors
BA25 Adv. App. Processor
BA22 Basic App. Processor

Cache-Enabled Embedded
BA22 Cache-Embedded

Embedded Processors
BA22 Deeply Embedded
BA21 Low Power
BA20 PipelineZero

Processor-Based AMBA® Subsystems
Family Overview
AHB Low-Power
AHB Performance/Low-Power
AXI Custom Performance

AMBA Bus Infrastructure Cores
See Peripherals Cores >

Efficiently compress media or data with these high-performance hardware codecs. See the video and image compression Family Page for a media compression overview.

 H.264 Video Decoders
Low Latency Constrained
  Baseline Profile

Low-Power Constrained
  Baseline Profile

 H.265 HEVC Decoders
Main Profile

Companion Cores
Image Processing
WDR/HDR
CAMFE Camera Processor
Network Stacks
40G UDPIP Stack
1G/10G UDPIP Stack
• Hardware RTP Stack
  – for H.264 Encoders
  – for H.264 Decoders
  – for JPEG Encoders
IEEE 802.1Qav & 802.1Qbv
   Stack

• MPEG Transport Stream
  Mux

JPEG Still & Motion
Encoders
Baseline
Extended
Ultra-Fast
Decoders
Baseline
Extended
Ultra-fast

JPEG-LS
Lossless & Near-Lossless
Encoder
Decoder

Lossless Data Compression
GZIP Compressor
GUNZIP Decompressor
GZIP Reference Designs
    • for Intel FPGAs
    • for Xiinx FPGAs

Easily integrate memories, peripherals, and hardware networking stacks into SoCs.

Display Controllers
TFT LCD

Device Controllers
smart card reader

Flash Controllers
Parallel Flash
Parallel Flash for AHB
Universal Serial NOR/NAND
   Flash for AHB

Quickly complete the standard parts of your SoC with these memory and peripheral controllers, interfaces, and interconnect cores.

SPI
Octal/Quad/Dual/Single SPI
XIP & DMA for AHB
XIP for AHB
Quad SPI
XIP & DMA for AHB
XIP for AHB
XIP for AXI
Master/Slave
Single SPI
Master/Slave
Bridges
SPI to AHB-Lite

I2C & SMBUS
Master/Slave Controller
I2C
Master  • Slave

These encryption cores make it easy to build security into a variety of systems.

GEON SoC Security
GEON Security
    Platform

Encryption Primitives
AES
AES, Programmable
  CCM, GCM, XTS
Key Expander
DES
Single, Triple

Hash Functions
SHA
SHA-3 (Keccak)
SHA-256
SHA-1
MD5
MD5

Other Posts & News

Recent Blog Posts

Recent News

See all the blog posts or news items

by CAST, Inc.

Megh Computing Uses CAST H.264 IP Subsystem in Video Analytics Solution

Article

Low-latency Video Decoding IP Subsystem Meets Megh's Requirements for Video Analytics System Using AI/Deep Learning to Prevent Retail Inventory Loss

Megh Computing uses CAST's H.24 IP Subsystem  

Megh Computing

Megh Computing, established in 2017, is based in Portland, OR with offices in Bangalore, India.

Megh Computing’s mission is to enable the 3rd wave of computing in data centers with the deployment of scale out FPGA (Field Programmable Gate Arrays) based accelerators.

The company’s solution provides a scalable, efficient platform for Real Time Analytics using FPGA-as-a-Service delivering high performance with low latencies for the edge, public or private cloud. For more information, visit www.megh.com.

The Challenge

Megh Computing had both a technical and business challenge. The technical challenge was very tight timing and performance specs.

As a start-up, the business challenge was to come up with a flexible licensing model that met both Megh Computing’s current and future economic requirements. 

Megh Computing CEO Prabhat K. (PK) GuptaIt has been a pleasure working with a technically competent and professional company like CAST. We smoothly worked through technical and business issues. The end result is an industry leading high-performance Video Analytics Solution that can be deployed on-premise at the edge or as a hybrid solution in the cloud.
— Prabhat Gupta, CEO

The Solution

Megh Computing uses the CAST Video Over IP subsystem that integrates a CAST H.264 decoder with the CAST RTP-to-H264 core for a low latency streaming solution.

This IP solution is used to decode video streams into image frames for segmentation and classification using deep learning on the streaming video. The application of this product is to use AI/Deep Learning to prevent retail inventory loss and to track inventory items in warehouses. Read Megh Computing’s blog on Using AI/Deep Learning to prevent inventory loss to get a more detailed description of their solution. 
 

Megh Video Analytics System Requirements Diagram

Megh Computing's Requirements for their video analytics pipeline.

What attracted Megh Computing to CAST was CAST’s technology and domain expertise, their support model and willingness to work with Megh Computing to meet Megh Computing’s stringent timing requirements and project schedule with CAST’s integrated H.264 subsystem. CAST worked with Megh Computing to provide a licensing model that met the needs of both a start-up and projected future growth. Megh Computing has recently demonstrated  its Video Analytics Solution on the Intel Platform.

Key Challenges

  • Needed a partner with strong domain expertise.
  • Needed a partner who was willing to work with Megh Computing to meet their stringent timing requirements and project schedule.
  • Needed a flexible licensing model.

CAST Solutions

Results

  • Met and exceeded Megh Computing’s timing requirements and performance requirements.
  • CAST provided a flexible licensing model.

 


 

Bhoomika Sharma, Megh ComputingLearn more about the challenges Megh's engineers faced and their solutions in this talk from the Spark+AI Summit 2019:
Accelerating Real Time Video Analytics on a Heterogenous CPU + FPGA Platform
by Bhoomika Sharma

 

tw    fbk    li    li    li
Top of Page