Our partners from the University of Manchester have a new accepted publication introducing TornadoVMPulse, a profiling and visualization tool for TornadoVM that helps developers analyze and optimize Java applications running on…
On February 6, 2026, the TornadoVM team from UNIMAN presented TornadoVM at Voxxed Days CERN, hosted at CERN in Switzerland. In this session, we introduced TornadoVM as a state-of-the-art open-source framework…
On February 6, 2026, the TornadoVM team from UNIMAN gave a talk in Ticino, Switzerland! The talk presented TornadoVM as a solution for accelerating Java applications on GPUs, CPUs, and FPGAs…
On 22 January, Thanos Stratikopoulos from the University of Manchester (UNIMAN) presented a webinar demonstrating TornadoVM running with Eclipse Adoptium Temurin JDK 21, highlighting how modern JVMs can enable heterogeneous GPU…
TornadoInsight – Compatibility with TornadoVM SDK 2.0+ & Configuration Guide
This blog was cross-posted from tornadovm.org This blog updates the previously published TornadoInsight configuration guidelines and explains how to configure the required environment variable to ensure that TornadoInsight correctly detects the…
This blog is cross-posted from tornadovm.org Installing and configuring tools for heterogeneous computing can often be complicated. TornadoVM simplifies this process by allowing Java developers to automatically accelerate Java programs on…
Michalis Papadimitriou from the University of Manchester presented the latest updates on TornadoVM at the JCON Conference. TornadoVM is an open-source technology developed within the AERO project to enable Java applications…
We are excited to announce that on 15th of October, Polyvios Pratikakis from FORTH presented their paper, MaTSa, at VMIL 2025. VMIL was co-located with SPLASH this year. MaTSa is a…
In October, the TornadoVM team from UNIMAN gave two talks at Devoxx Belgium! The first talk was a deep dive on TornadoVM, explaining the programming model, the API and the TornadoVM…
Iacovos Kolokasis from FORTH presented their work-in-progress paper “SmartSweep” at MPLR 2025! Big data frameworks (e.g., Spark, Neo4j) often extend the JVM heap into remote memory, but GC in this setting…
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