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ATM: Approximate Task Memoization in the Runtime System

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-48096-0_2openalex-snapshot
Runtime-Aware Architectures
inferredcites →https://doi.org/10.1109/cgo.2015.7054203openalex-snapshot
HELIX-UP: Relaxing program semantics to unleash parallelization
inferredcites →https://doi.org/10.1109/micro.1997.645815openalex-snapshot
The predictability of data values
inferredcites →https://doi.org/10.1109/micro.1998.742782openalex-snapshot
Understanding the differences between value prediction and instruction reuse
inferredcites →https://doi.org/10.1109/micro.2012.48openalex-snapshot
Neural Acceleration for General-Purpose Approximate Programs
inferredcites →https://doi.org/10.1109/micro.2014.22openalex-snapshot
Load Value Approximation
inferredcites →https://doi.org/10.1109/pact.2015.26openalex-snapshot
Runtime-Guided Management of Scratchpad Memories in Multicore Architectures
inferredcites →https://doi.org/10.1109/pact.2015.29openalex-snapshot
Runtime Value Numbering: A Profiling Technique to Pinpoint Redundant Computations
inferredcites →https://doi.org/10.1109/tc.2005.119openalex-snapshot
Fuzzy Memoization for Floating-Point Multimedia Applications
inferredcites →https://doi.org/10.1142/s0129626411000151openalex-snapshot
OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES
inferredcites →https://doi.org/10.1145/2025113.2025133openalex-snapshot
Managing performance vs. accuracy trade-offs with loop perforation
inferredcites →https://doi.org/10.1145/225058.225140openalex-snapshot
Polynomial time approximation schemes for dense instances of NP -hard problems
inferredcites →https://doi.org/10.1145/237090.237173openalex-snapshot
Value locality and load value prediction
inferredcites →https://doi.org/10.1145/248209.237173openalex-snapshot
Value locality and load value prediction
inferredcites →https://doi.org/10.1145/2485922.2485925openalex-snapshot
Convolution engine
inferredcites →https://doi.org/10.1145/264107.264200openalex-snapshot
Dynamic instruction reuse
inferredcites →https://doi.org/10.1145/2694344.2694358openalex-snapshot
PuDianNao
inferredcites →https://doi.org/10.1145/2829952openalex-snapshot
PARSECSs
inferredcites →https://doi.org/10.14529/jsfi140102openalex-snapshot
Runtime-Aware Architectures: A First Approach
inferredcites →https://doi.org/10.5555/266800.266824openalex-snapshot
The predictability of data values
inferredcites →https://doi.org/10.5555/290940.290983openalex-snapshot
Understanding the differences between value prediction and instruction reuse

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.7204openalex-snapshot
Approximate function memoization
inferred← citeshttps://doi.org/10.1007/978-3-031-21867-5_6openalex-snapshot
Effects of Approximate Computing on Workload Characteristics
inferred← citeshttps://doi.org/10.1109/access.2024.3467375openalex-snapshot
Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions
inferred← citeshttps://doi.org/10.1109/hpec.2019.8916468openalex-snapshot
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM
inferred← citeshttps://doi.org/10.1109/islped.2019.8824846openalex-snapshot
A2M: Approximate Algebraic Memory Using Polynomials Rings
inferred← citeshttps://doi.org/10.1109/lca.2024.3505075openalex-snapshot
A Case for Hardware Memoization in Server CPUs
inferred← citeshttps://doi.org/10.1109/mm.2018.043191126openalex-snapshot
Temporal Approximate Function Memoization
inferred← citeshttps://doi.org/10.1109/pmbs.2018.8641651openalex-snapshot
Approximating a Multi-Grid Solver
inferred← citeshttps://doi.org/10.1109/sc.2018.00038openalex-snapshot
Runtime-Assisted Cache Coherence Deactivation in Task Parallel Programs
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00085openalex-snapshot
TD-NUCA: Runtime Driven Management of NUCA Caches in Task Dataflow Programming Models
inferred← citeshttps://doi.org/10.1145/3307650.3322215openalex-snapshot
AxMemo
inferred← citeshttps://doi.org/10.1145/3445814.3446717openalex-snapshot
MERCI: efficient embedding reduction on commodity hardware via sub-query memoization
inferred← citeshttps://doi.org/10.1145/3711683openalex-snapshot
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
inferred← citeshttps://doi.org/10.5821/dissertation-2117-134618openalex-snapshot
Towards resource-aware computing for task-based runtimes and parallel architectures
inferred← citeshttps://doi.org/10.5821/dissertation-2117-134744openalex-snapshot
Parallel architectures and runtime systems co-design for task-based programming models
inferred← citeshttps://doi.org/10.5821/dissertation-2117-166153openalex-snapshot
Exploiting task-based programming models for resilience
inferred← citeshttps://doi.org/10.5821/dissertation-2117-335422openalex-snapshot
Runtime-assisted optimizations in the on-chip memory hierarchy
inferred← citeshttps://doi.org/10.5821/dissertation-2117-336238openalex-snapshot
Runtime-assisted coherent caching
inferred← citeshttps://doi.org/10.5821/dissertation-2117-367546openalex-snapshot
Exploiting data locality in cache-coherent NUMA systems
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