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Gagandeep Singh

16 papers hereh-index 16985 citations39 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.AR10
  • q-bio.GN3
  • cs.DC2
  • cs.PF1
same name
  • Gagandeep Singh — 13 papers, h 21
  • Gagandeep Singh — 8 papers, h 6
  • Gagandeep Singh — 8 papers, h 3
  • Gagandeep Singh — 7 papers, h 3
  • Gagandeep Singh — 7 papers, h 7
  • Gagandeep Singh — 5 papers, h 11

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
20192023
most citedFPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

74 citations · 206 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.AR2020

NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling

Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner +4

Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU impl…

cs.AR2020★ 12 cited

TDO-CIM: Transparent Detection and Offloading for Computation In-memory

Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar +4

Computation in-memory is a promising non-von Neumann approach aiming at completely diminishing the data transfer to and from the memory subsystem. Although a lot of architectures h…

cs.DC2020

Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack

Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare +2

Specialized accelerators for tensor-operations, such as blocked-matrix operations and multi-dimensional convolutions, have been emerged as powerful architecture choices for high-pe…

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