The papers in this volume were presented at the 56th Annual ACM Symposium on Theory of Computing (STOC 2024), sponsored by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT). The conference was held in Vancouver, Canada, June 24--28, 2024, with the papers being presented as live talks.
Breaking the VLB Barrier for Oblivious Reconfigurable Networks
In a landmark 1981 paper, Valiant and Brebner gave birth to the study of oblivious routing and, simultaneously, introduced its most powerful and ubiquitous method: Valiant load balancing (VLB). By routing messages through a randomly sampled intermediate ...
Lenzen’s Distributed Routing Generalized: A Full Characterization of Constant-Time Routability
A celebrated and widely used result of Lenzen and Wattenhofer [STOC’11, PODC’13] shows a constant-round (deterministic) distributed routing algorithm for the complete-graph network: if each node is the source or destination of at most Θ(n) packets, there ...
Work-Efficient Parallel Derandomization II: Optimal Concentrations via Bootstrapping
In this paper, we present an efficient parallel derandomization method for randomized algorithms that rely on concentrations such as the Chernoff bound. This settles a classic problem in parallel derandomization, which dates back to the 1980s. Concretely,...
No Distributed Quantum Advantage for Approximate Graph Coloring
- Xavier Coiteux-Roy,
- Francesco d'Amore,
- Rishikesh Gajjala,
- Fabian Kuhn,
- François Le Gall,
- Henrik Lievonen,
- Augusto Modanese,
- Marc-Olivier Renou,
- Gustav Schmid,
- Jukka Suomela
We give an almost complete characterization of the hardness of c-coloring χ-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit any distributed quantum ...
Optimal Communication Bounds for Classic Functions in the Coordinator Model and Beyond
In the coordinator model of communication with s servers, given an arbitrary non-negative function f, we study the problem of approximating the sum ∑i ∈ [n]f(xi) up to a 1 ± ε factor. Here the vector x ∈ ℝn is defined to be x = x(1) + ⋯ + x(s), where x(j)...
Index Terms
- Proceedings of the 56th Annual ACM Symposium on Theory of Computing
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
STOC '15 | 347 | 93 | 27% |
STOC '14 | 319 | 91 | 29% |
STOC '13 | 360 | 100 | 28% |
STOC '11 | 304 | 84 | 28% |
STOC '08 | 325 | 80 | 25% |
STOC '03 | 270 | 80 | 30% |
STOC '02 | 287 | 91 | 32% |
STOC '01 | 230 | 83 | 36% |
STOC '00 | 182 | 85 | 47% |
STOC '98 | 169 | 75 | 44% |
STOC '97 | 211 | 75 | 36% |
STOC '96 | 201 | 74 | 37% |
STOC '89 | 196 | 56 | 29% |
STOC '88 | 192 | 53 | 28% |
STOC '87 | 165 | 50 | 30% |
STOC '80 | 125 | 47 | 38% |
STOC '79 | 111 | 37 | 33% |
STOC '78 | 120 | 38 | 32% |
STOC '77 | 87 | 31 | 36% |
STOC '76 | 83 | 30 | 36% |
STOC '75 | 87 | 31 | 36% |
STOC '74 | 95 | 35 | 37% |
STOC '71 | 50 | 23 | 46% |
STOC '70 | 70 | 27 | 39% |
Overall | 4,586 | 1,469 | 32% |