ACM Gordon Bell Prize for Climate Modelling

How to Nominate



The Gordon Bell Prize for Climate Modelling will be awarded every year for ten years beginning in 2023 to recognize the contributions of climate scientists and software engineers. Nominations will be selected based on their impact and potential impact on the field of climate modelling, on related fields, and on wider society by applying high-performance computing to climate modelling applications. The award aims to recognize innovative parallel computing contributions toward solving the global climate crisis. Nominations will be selected based on the performance and innovation in their computational methods and their contributions toward improving climate modelling and our understanding of the Earth’s climate system. Financial support for this $10,000 award is provided by Gordon Bell, a pioneer in high-performance and parallel computing.

Next Deadline

April 15, 2024  - End of Day, Anywhere on Earth (AoE), UTC -12 hr.

Selection Criteria

Teams may apply for the award. Nominations will be evaluated on the basis of the following considerations:

  • Evidence of important algorithmic and/or implementation innovations
  • A clear improvement over the previous state-of-the-art
  • That performance is not dependent on an architecture that is specialized or cannot be replicated
  • That detailed performance measurements demonstrate the submission’s claims in terms of scalability (strong as well as weak scaling), time to solution, and efficiency in using bottleneck resources (such as memory size or bandwidth, communications bandwidth, I/O), as well as peak performance.
  • Achievement is generalizable, in the sense that other scientists can learn and benefit from the innovations

Although solving an important scientific or engineering challenge is important to demonstrate/justify the work, novel scientific outcomes alone are not sufficient for this prize.


Nominations for the ACM Gordon Bell Prize for Climate Modelling must explain the innovations, detail the performance levels achieved on one or more real-world applications, and articulate the implications of the approach for the broader HPC community. Please prepare materials in the format specified below and submit them using the online nomination form:

  • Name, address, phone number, and email address of nominator (person making the submission).
  • List the names (including the nominator, if appropriate) to be cited as awardees, along with the institutional affiliation for each.
  • Suggested citation if the nomination is selected.  This is normally the same as the title under which the nomination statement will be published in the International Journal of High Performance Computing Applications (IJHPCA)
  • Nomination (as a PDF not exceeding 11 pages in length, following typical technical paper page standards: 11pt font, single spaced text, fitting within 7.5" x 10" text area.) Each nomination must provide the information necessary for judging and comparison, but also be suitable for inclusion in IJHPCA, organized into the sections below. Note that the materials should explain the contribution in terms that are understandable to a non-specialist. Only nominations meeting all requirements will be considered.
  • Optional but desirable: Up to 3 endorsement letters in PDF. Letters should be provided by independent individuals or institutions from the discipline of the candidates' real-world application, describing how the candidates' result could potentially produce key scientific advances in that discipline. The nominator should collect the letters and include them as part of the submission.
  1. Abstract
    • (150 word max)
  2. Justification for ACM Gordon Bell Prize for Climate Modelling
    • (50 word max)
    • Indicate what implementation or performance “high watermark” was achieved as well as how the work furthers understanding of the climate system and/or the impacts of climate change
  3. Performance Attributes
    • (use a table listing each attribute title and value in a separate row)
    • Category of achievement (1+ of:  scalability, time-to-solution, peak performance)
    • Type of method used (1 of:  explicit, implicit, both explicit and implicit, semi-implicit, n/a)
    • Results reported on the basis of (1 of:  whole application including I/O; whole application except I/O; kernel only; other [specify])
    • Precision reported (1 of:  single precision, double precision, mixed precision)
    • System scale (1 of:  results measured on full-scale system, projected from results of smaller system, other [specify]
    • Measurement mechanism (1 of:  timers, FLOP count, static analysis tool, performance modeling, other [specify]
  4. Overview of the Problem
    • Description of the problem and its importance, in terms understandable to a non-specialist (1 p max)
  5. Current State of the Art
    • Quantitative discussion of current SoA, with emphasis on performance-related aspects (1 p max)
  6. Innovations Realized
    • Describe the innovation and how they were achieved (2 pp max)
  7. How Performance Was Measured
    • (Note that preference is given to performance actually measured [not projected], based on the entire application [including I/O] and with uniform precision. Explain in detail if any portion of total runtime was not included in the measurements, if and where different precisions were used, or any attributes listed in Section 3 as “other”).
    • What application(s) was used to measure performance (1 p max)
    • System and environment where performance was measured (1 p max)
  8. Performance Results
    • Include scalability (weak and strong), time to solution, efficiency (of bottleneck resources), and peak performance (2 pp max)
  9. Implications
    • Implications for our understanding of the climate system and/or climate impacts and for future HPC systems and applications (1 p max)
  10. References (not included in page limit)

The committee will select up to 6 nominations as “finalists” made on the basis of empirical performance measurements submitted (not extrapolated performance predictions). Each nominator should be prepared to reproduce both performance and scientific results.

Finalist submissions will be published in IJHPCA. Prior to publication, finalists will be allowed to correct typographic errors, but no other changes to the text will be permitted prior to publication unless specifically requested by the committee.

Finalists will be given the opportunity to provide updated results in early August, prior to the final award decision.

For questions on the above, please contact us at [email protected] or Jade Morris, ACM Awards Committee Liaison.  ACM's conflict-of-interest guidelines apply to all award nominations.