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ECCC
Electronic Colloquium on Computational Complexity

Under the auspices of the Computational Complexity Foundation (CCF)

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About the ECCC

What we do and why

The Electronic Colloquium on Computational Complexity (ECCC) was established in 1994 as a forum and repository for the rapid and widespread interchange of ideas, techniques, and research in computational complexity. Posting on the ECCC has the status of a technical report. ECCC welcomes papers, short notes, and surveys, with
  • relevance to computational complexity,
  • clear mathematical profile, and
  • alignment with the scholarly norms.

Submissions claiming to resolve a grand challenge, such as the P vs. NP problem, may be rejected without further consideration.

Submissions containing an essential part that seems to be generated by AI tools and/or are written in a way that humans will find hard to understand, may be rejected regardless of their merits. ECCC is intended for communication among humans.

For more details see the Call for Papers.


Latest News
9th April 2023 12:21

Service Interruption

In the last few days, a Denial of Service attack was launched on universities in Israel, leading the administrators of the Israel Academic network to block access to it from the global internet. Consequently, websites such as ECCC have been accessible only from within the Israeli and European academic networks.

It seems that this blocking was just removed, and we hope it will not be put back in the future.

Needless to say, deciding on such blocking is not in our control, but we do apologize for this disruption of service.


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Latest Report Titles
Latest Reports
TR26-281 | 27th October 2026
Amir Shpilka

Exposition of OpenAI’s Matrix Multiplication in Exponent 9/4 (and an explicit algorithm)

A recent manuscript of OpenAI proves that the exponent of matrix multiplication satisfies $\omega\le9/4$. We give an elementary, self-contained proof of this bound. We follow the ideas of the original manuscript, but implement them differently to obtain explicit algorithms. Specifically, for every $\varepsilon>0$, we give a matrix multiplication algorithm with ... more >>>


TR26-280 | 21st October 2026
Krishnamoorthy Dinesh, Chandana Sasidharan

Space Complexity of Reachability in Simple Path Graphs

One of the central questions in space complexity is whether nondeterministic logspace computations (NL) can be simulated in unambiguous logspace (UL). A stronger notion, reach unambiguity (RUL $\subseteq$ UL $\cap$ coUL), requires every configuration reachable from the start to have exactly one computation path (Buntrock et.al. 91). While directed graph ... more >>>


TR26-279 | 10th October 2026
Sravanthi Chede, Vaibhav Krishan, Anil Shukla

On Knowledge Compilation Languages for QBFs

In this work, we design knowledge compilation languages for quantified Boolean formulas (QBFs), with a particular focus on model counting. We introduce various languages in increasing order of their power of representation, starting from a simple tree-based structure, and extending it to DAGs for a more efficient representation. We study ... more >>>


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