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Author

Joseph Melber

Observed name: Melber, Joseph
ORCID: 0000-0001-9519-0502
Observed ORCID: 0000-0001-9519-0502
OpenAlex ID: A5006148629
A Study of Pointer-Chasing Performance on Shared-Memory Processor-FPGA Systems
2016 · Gabriel Weisz, Joseph Melber, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 40
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Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface
2025 · Erika Hunhoff, Joseph Melber, et al. · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) · 23
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SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation
2023 · Gagandeep Singh, Alireza Khodamoradi, et al. · International Conference on Supercomputing · 23
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From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR
2026 · Erwei Wang, Samuel Bayliss, et al. · ACM Transactions on Reconfigurable Technology and Systems · 11
Can Asymmetric Tile Buffering Be Beneficial?
2026 · Chengyue Wang, Qiran Pang, et al. · ACM/IEEE Design Automation Conference (DAC) · 4
Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen™ AI NPUs
2026 · Endri Taka, Andre Roesti, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 4
Exploiting the Common Case When Accelerating Input-Dependent Stream Processing by FPGA
2022 · Zhipeng Zhao, Joseph Melber, et al. · IEEE Transactions on Computers · 4
A Service-Oriented Memory Architecture for FPGA Computing
2020 · Joseph Melber, James C. Hoe · International Conference on Field Programmable Logic and Applications (FPL) · 2
Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case Study
2026 · Wang, Erwei, Wu, Ephrem, et al. · arXiv (Cornell University)
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STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD’s XDNA™ NPU
2026 · Victor J.B. Jung, Gagandeep Singh, et al. · IEEE International Conference on Omni-layer Intelligent Systems (COINS)
STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD's XDNA NPU
2026 · Jung, Victor J. B., Singh, Gagandeep, et al. · arXiv (Cornell University)
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STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD’s XDNA™ NPU
2026 · Victor J.B. Jung, Gagandeep Singh, et al. · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
Works count: 14
Citation count: 112
H-index: 4
I10-index: 4
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