Ben Karsin - RankMe

21 papers A 2B 1C 2Misc 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs. Proc. ACM Manag. Data Jingyi Xi, Chenghao Mo, Ben Karsin, Artem M. Chirkin, Mingqin Li, Minjia Zhang
2022	J	`jnl`	Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts. IEEE Trans. Computers Kyle Berney, Henri Casanova, Ben Karsin, Nodari Sitchinava
2022	—	`conf`	Locality-of-Reference Optimality of Cache-Oblivious Algorithms. APOCS Peyman Afshani, John Iacono, Varunkumar Jayapaul, Ben Karsin, Nodari Sitchinava
2021	Misc	`conf`	A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures. SAC Michael Gowanlock, Zane Fink, Ben Karsin, Jordan Wright
2019	J	`jnl`	A hybrid CPU/GPU approach for optimizing sorting throughput. Parallel Comput. Michael Gowanlock, Ben Karsin
2019	J	`jnl`	A parallel priority queue with fast updates for GPU architectures. CoRR John Iacono, Ben Karsin, Nodari Sitchinava
2019	C	`conf`	Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives. DaMoN Michael Gowanlock, Ben Karsin, Zane Fink, Jordan Wright
2019	J	`jnl`	Accelerating the similarity self-join using the GPU. J. Parallel Distributed Comput. Michael Gowanlock, Ben Karsin
2019	B	`conf`	External Memory Planar Point Location with Fast Updates. ISAAC John Iacono, Ben Karsin, Grigorios Koumoutsos
2019	J	`jnl`	External Memory Planar Point Location with Fast Updates. CoRR John Iacono, Ben Karsin, Grigorios Koumoutsos
2019	C	`conf`	GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data. DaMoN Michael Gowanlock, Ben Karsin
2019	J	`jnl`	Locality. CoRR John Iacono, Varunkumar Jayapaul, Ben Karsin
2018	J	`jnl`	An Efficient Algorithm for the 1D Total Visibility-Index Problem and Its Parallelization. ACM J. Exp. Algorithmics Peyman Afshani, Mark de Berg, Henri Casanova, Ben Karsin, Colin Lambrechts, Nodari Sitchinava, Constantinos Tsirogiannis
2018	A	`conf`	Analysis-driven Engineering of Comparison-based Sorting Algorithms on GPUs. ICS Ben Karsin, Volker Weichert, Henri Casanova, John Iacono, Nodari Sitchinava
2018	A	`conf`	Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts. IPDPS Kyle Berney, Henri Casanova, Alyssa Higuchi, Ben Karsin, Nodari Sitchinava
2018	—	`conf`	GPU Accelerated Self-Join for the Distance Similarity Metric. IPDPS Workshops Michael Gowanlock, Ben Karsin
2018	J	`jnl`	GPU Accelerated Self-join for the Distance Similarity Metric. CoRR Michael Gowanlock, Ben Karsin
2018	J	`jnl`	GPU Accelerated Similarity Self-Join for Multi-Dimensional Data. CoRR Michael Gowanlock, Ben Karsin
2018	—	`conf`	Sorting Large Datasets with Heterogeneous CPU/GPU Architectures. IPDPS Workshops Michael Gowanlock, Ben Karsin
2017	J	`jnl`	An Efficient Multiway Mergesort for GPU Architectures. CoRR Henri Casanova, John Iacono, Ben Karsin, Nodari Sitchinava, Volker Weichert
2015	Misc	`conf`	Efficient Batched Predecessor Search in Shared Memory on GPUs. HiPC Ben Karsin, Henri Casanova, Nodari Sitchinava

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.