Apache Ignite
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Updated
Sep 21, 2026 - Java
Apache Ignite
Apache Ignite 3
A secure, high-performance, multi-tenant platform for remote App ”Hosting“ 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."
Software side of an LLM running inside a DRAM chip via charge-sharing PIM (BitNet b1.58 on DRAM-Bender silicon).
Apache Ignite Website
The DaiSy Library for Fast and Exact, Data Series and Vector Similarity Search
A computational foundation for AGI, based on hyperdimensional computing and framed in set theory.
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).
In-Memory Accelerator Controller
☁️ Apache Ignite
Device-to-algorithm neuromorphic: train spiking neural nets in snnTorch, then deploy on a simulated memristor crossbar with measured SnS2 device non-idealities.
Hardware-aware S4D state-space models on simulated analog memristor crossbars: a reproducible neuromorphic in-memory computing co-design study (PyTorch, CPU-only).
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.
Analog Robustness CI — will your AI model survive analog hardware? Break-even economics + noise/drift/ADC robustness simulation for AIMC and photonic accelerators.
Cache optimization and in-memory computing research focusing on performance, latency, and energy-efficient hybrid memory systems.
Behavioral compute-SNR analysis and website for voltage-driven resistive crossbar IMCs
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