Reece Neff

College of Engineering

Works (5)

Updated: September 18th, 2024 05:02

2024 article

FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems

PROCEEDINGS OF THE 38TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2024, pp. 38–49.

By: R. Neff n, M. Zarch  n, M. Minutoli *, M. Halappanavar *, A. Tumeo *, A. Kalyanaraman *, M. Becchi n

author keywords: Parallel Graph Algorithms; Influence Maximization
Source: Web Of Science
Added: August 5, 2024

2024 article

Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing

PROCEEDINGS 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2024, pp. 241–252.

By: S. Ferdous *, R. Neff n, B. Peng *, S. Shuvo*, M. Minutoli *, S. Mukherjee*, K. Kowalski *, M. Becchi*, M. Halappanavar *

author keywords: Graph coloring; quantum computing; memory-efficient algorithms
Source: Web Of Science
Added: September 16, 2024

2023 article

High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization

PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2023, CF 2023, pp. 12–22.

By: R. Neff n, M. Minutoli *, A. Tumeo * & M. Becchi n

author keywords: High-Level Synthesis; Graph Algorithms; Influence Maximization
TL;DR: This work analyzes the challenges and benefits of using a commercial state-of-the-art HLS tool and its available optimizations to accelerate graph sampling and discusses future opportunities for improvement in hardware, HLS tools, and hardware/software co-design methodology to better support complex irregular applications such as IMM. (via Semantic Scholar)
Source: Web Of Science
Added: March 4, 2024

2022 article

Accelerating Random Forest Classification on GPU and FPGA

51ST INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2022.

By: M. Shah n, R. Neff n, H. Wu n, M. Minutoli *, A. Tumeo * & M. Becchi n

author keywords: random forest classification; GPU; FPGA
TL;DR: This work proposes a hierarchical memory layout suitable to the GPU/FPGA memory hierarchy, and designs three RF classification code variants based on that layout, and investigates GPU- and FPGA-specific considerations for these kernels. (via Semantic Scholar)
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Source: Web Of Science
Added: October 30, 2023

2021 article

Exploring Thread Coarsening on FPGA

2021 IEEE 28TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2021), pp. 436–441.

By: M. Zarch  n, R. Neff n & M. Becchi n

author keywords: OpenCL; FPGA; high-level synthesis; compiler techniques; thread-coarsening; performance optimization
Source: Web Of Science
Added: May 2, 2022

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