Apache Ignite

Apache Ignite 3

A secure, high-performance, multi-tenant micro-service platform for remote "App Management" and "Computing"

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."

Apache Ignite Website

The DaiSy Library for Fast and Exact, Data Series and Vector Similarity Search

In-Memory Accelerator Controller

Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey. By designing and analyzing Memristor Devices for Neuromorphic Computing, Spiking Neural Networks (SNNs), Physically Unclonable Functions (PUFs), True Random Number Generators (TRNGs), we are investigating their hardware and software security (attacks and defenses).

☁️ Apache Ignite

GridGain is a unified real-time data platform that provides in-memory computing for transactions, analytics, and AI workloads. Built on top of Apache Ignite, it offers distributed database, caching, and computing capabilities for high-performance data-intensive applications.

Hazelcast is a real-time data platform that helps businesses accelerate their applications with data caching, data integration, and distributed computing. Hazelcast provides in-memory computing capabilities for high-performance, low-latency applications.

in-depth analysis and comparison of eight leading in-memory subgraph matching algorithms, QuickSI, GraphQL, CFL, CECI, DP-iso, RI, and VF2++.

We present an analog in-memory computing (AIMC) evaluation framework, providing SW/HW performance for LLM inference.

🔒 Execute AI-generated code and untrusted scripts safely in a secure sandbox environment with Ignite. Perfect for JS/TS microservices.