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Kamer Kaya

10 papers hereh-index 215 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.DC5
  • cs.CR1
  • cs.DS1
  • cs.IR1
  • cs.SI1
  • quant-ph1
same name
  • Kamer Kaya — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSUperman: Efficient Permanent Computation on GPUs

2 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.DS2026

The Quick and the Dead: Estimating Sparse-Matrix Permanents with Adaptive Work Filtering

Deniz Elbek, Yiğit Manafi, Zeynep Gürdal +2

Rasmussen's permanent estimator is a simple and unbiased estimator for the permanent of a binary matrix, but its practical performance can be limited by trajectories that terminate…

quant-ph2026

Graph-Aware Exact Branch-and-Bound with Device Profiles for Static Qubit Allocation

Kamer Kaya

Static qubit allocation maps a circuit's logical qubits to a sparse physical device while minimising an interaction-weighted physical-distance cost function, yielding a rectangular…

cs.DC2026

Graph Traversal on Tensor Cores: A BFS Framework for Modern GPUs

Deniz Elbek, Kamer Kaya

Modern GPUs have Tensor Cores (TCs) capable of extremely high-throughput matrix operations, yet graph algorithms remain difficult to accelerate because of their irregular and data-…

cs.CR2026

Diagonal Packing for Efficient Homomorphic Sparse Matrix-Vector Multiplication

Kemal Mutluergil, Deniz Elbek, Kamer Kaya +1

Homomorphic encryption (HE) enables computation over encrypted data but incurs a substantial overhead. For sparse matrix-vector multiplication, the widely used Halevi-Shoup scheme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.