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Gilad Arnold

dblp:01/1012 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
code generation
0.112007
Sketching stencils · PLDI 2007
High-performance computing
stencil computation
0.112007
Sketching stencils · PLDI 2007
High-performance computing › stencil computation
stencil computation optimization
0.112007
Sketching stencils · PLDI 2007

Methods — techniques the papers use, named apart from their topics

sketching · 0.1
YearPublicationVenuePosition
2010 Specifying and verifying sparse matrix codes
abstract
Sparse matrix formats are typically implemented with low-level imperative programs. The optimized nature of these implementations hides the structural organization of the sparse format and complicates its verification. We define a variable-free functional language (LL) in which even advanced formats can be expressed naturally, as a pipeline-style composition of smaller construction steps. We translate LL programs to Isabelle/HOL and describe a proof system based on parametric predicates for tracking relationship between mathematical vectors and their concrete representations. This proof theory automatically verifies full functional correctness of many formats. We show that it is reusable and extensible to hierarchical sparse formats.
Gilad Arnold, Johannes Hölzl, Ali Sinan Köksal, Rastislav Bodík, Shmuel Sagiv
ICFP1
2007 Sketching stencils
abstract
Performance of stencil computations can be significantly improved through smart implementations that improve memory locality, computation reuse, or parallelize the computation. Unfortunately, efficient implementations are hard to obtain because they often involve non-traditional transformations, which means that they cannot be produced by optimizing the reference stencil with a compiler. In fact, many stencils are produced by code generators that were tediously handcrafted.
Armando Solar-Lezama, Gilad Arnold, Liviu Tancau, Rastislav Bodík, Vijay A. Saraswat, Sanjit A. Seshia
PLDI2
2006 Specialized 3-Valued Logic Shape Analysis Using Structure-Based Refinement and Loose Embedding
Gilad Arnold
SAS1
2006 Combining Shape Analyses by Intersecting Abstractions
Gilad Arnold, Roman Manevich, Shmuel Sagiv, Ran Shaham
VMCAI1