Exploiting High-Performance Heterogeneous Hardware for Java Programs using Graal
- Submitting institution
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The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 75547450
- Type
- E - Conference contribution
- DOI
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10.1145/3237009.3237016
- Title of conference / published proceedings
- Proceedings of the 15th International Conference on Managed Languages and Runtimes, ManLang 2018 (formerly PPPJ)
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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A - Computer Science
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Proposes methodology for automatic and transparent hardware acceleration of managed applications, implemented as software ""TornadoVM"", which currently has 350 GitHub stars.
Invited talks:
- ARM and Microsoft Research Cambridge (Jan 2019)
- Oracle JVMLS, (July 2019)
- JokerConf (Oct 2019)
- AMD and Intel US (Aug 2020)
- QConLondon and InfoQ (Mar 2020)
Enabled funding: EU E2Data (ID: 780245, EUR4,700,000), ELEGANT (ID: 957286, EUR4,900,000), Intel Labs Research grant (USD240,000).
No 1 on HackerNews (March 2020).
Featured by industry developer portal JAXenter (Oct 2019)
Included in EU’s Innovation radar, Heterogeneity Alliance, and Big Data Value Association catalogues."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
