A new Big Data platform with 10x+ performance improvements for companies challenged with “data intensive problems”

How it Works


The Answer for Data Intensive Big Data Analytics

Achieve the next level of insight

Faster through massive parallelism and in-Memory processing

Deployable low energy – less data moved shorter distances

Breakthrough - executing compute thread moves TO the data


Migratory Memory-Side Processing

Emu Technology has developed Migratory Memory-Side Processing, which is processing tightly coupled to a distributed shared memory, without needing buses or caches

Many lightweight cores tightly coupled to memory

  • Minimizes latency and energy use
  • Unnecessary data is not fetched to fill cache lines
  • No cache coherency traffic is required

Executing thread moves to the data

  • Network traffic is one way
  • Moving a thread context moves less data than reading a data block from a remote memory
Programmed in a true parallel language, Cilk, instead of library calls




Ideal for Modern Codes with
Weak Locality
Sparse Matrix
Streaming Data
Real-time Results Required
And with Benchmark Characteristics similar to
BFS Breadth First Search
SpMV Sparse Matrix Vector
Market Served
Graph Analysis
Threat Intelligence
No Compromise Big Data Analytics
Risk and Fraud Analysis
Signal and Image Processing
Semi-supervised Machine Learning
Unsupervised Machine Learning
Real-time Pattern Matching
Real-time Trend Analysis