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researcher

Maaz Bin Safeer Ahmad

University of Washington

4 papers hereh-index 7228 citations14 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.PL2
  • cs.DB1
  • cs.GR1
affiliations
  • University of Washington
Homepage

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedAutomatically Leveraging MapReduce Frameworks for Data-Intensive Applications

35 citations · 50 across the 4 of their papers we have counts for

collaborators

4 papers

cs.PL2025

Pushing Tensor Accelerators Beyond MatMul in a User-Schedulable Language

Yihong Zhang, Derek Gerstmann, Andrew Adams +1

Tensor accelerators now represent a growing share of compute resources in modern CPUs and GPUs. However, they are hard to program, leading developers to use vendor-provided kernel…

cs.GR2023★ 1 cited

Zero-shot CAD Program Re-Parameterization for Interactive Manipulation

Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad +2

Parametric CAD models encode entire families of shapes that should, in principle, be easy for designers to explore. However, in practice, parametric CAD models can be difficult to…

cs.DB2018★ 35 cited

Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications

Maaz Bin Safeer Ahmad, Alvin Cheung

MapReduce is a popular programming paradigm for developing large-scale, data-intensive computation. Many frameworks that implement this paradigm have recently been developed. To le…

cs.PL2016★ 14 cited

Leveraging Parallel Data Processing Frameworks with Verified Lifting

Maaz Bin Safeer Ahmad, Alvin Cheung

Many parallel data frameworks have been proposed in recent years that let sequential programs access parallel processing. To capitalize on the benefits of such frameworks, existing…

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