On the public citation graph
The Art of Deception: Adaptive Precision Reduction for Area Efficient Physics Acceleration
0 signed · 60 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-28641-7_8openalex-snapshot
“Look It Up” or “Do the Math”: An Energy, Area, and Timing Analysis of Instruction Reuse and Memoization
inferredcites →https://doi.org/10.1007/978-3-7091-7486-9_13openalex-snapshot
Plausible Motion Simulation for Computer Graphics Animation
inferredcites →https://doi.org/10.1109/arith.1993.378089openalex-snapshot
Exploiting trivial and redundant computation
inferredcites →https://doi.org/10.1109/hpca.2005.26openalex-snapshot
Power Efficient Processor Architecture and The Cell Processor
inferredcites →https://doi.org/10.1109/iccd.2002.1106814openalex-snapshot
Improving processor performance by simplifying and bypassing trivial computations
inferredcites →https://doi.org/10.1109/iccd.2006.4380806openalex-snapshot
Polaris: A System-Level Roadmap for On-Chip Interconnection Networks
inferredcites →https://doi.org/10.1109/iitc.2006.1648640openalex-snapshot
On-Chip Copper-Based vs. Optical Interconnects: Delay Uncertainty, Latency, Power, and Bandwidth Density Comparative Predictions
inferredcites →https://doi.org/10.1109/ipdps.2005.253openalex-snapshot
Improving Energy-Efficiency by Bypassing Trivial Computations
inferredcites →https://doi.org/10.1109/jssc.2006.870924openalex-snapshot
A Fully Pipelined Single-Precision Floating-Point Unit in the Synergistic Processor Element of a CELL Processor
inferredcites →https://doi.org/10.1109/micro.2004.12openalex-snapshot
Conjoined-Core Chip Multiprocessing
inferredcites →https://doi.org/10.1109/mm.2005.35openalex-snapshot
Niagara: A 32-Way Multithreaded Sparc Processor
inferredcites →https://doi.org/10.1109/tc.2005.119openalex-snapshot
Fuzzy Memoization for Floating-Point Multimedia Applications
inferredcites →https://doi.org/10.1145/1176760.1176802openalex-snapshot
Improving the performance and power efficiency of shared helpers in CMPs
inferredcites →https://doi.org/10.1145/1183316.1183326openalex-snapshot
Enabling real-time physics simulation in future interactive entertainment
inferredcites →https://doi.org/10.1145/1250662.1250690openalex-snapshot
Physical simulation for animation and visual effects
inferredcites →https://doi.org/10.1145/237090.237140openalex-snapshot
The case for a single-chip multiprocessor
inferredcites →https://doi.org/10.1145/237090.237173openalex-snapshot
Value locality and load value prediction
inferredcites →https://doi.org/10.1155/s1110865702205090openalex-snapshot
Lightweight Floating-Point Arithmetic: Case Study of Inverse Discrete Cosine Transform
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-94705-7_8openalex-snapshot
Design Space Exploration Tools
inferred← citeshttps://doi.org/10.1007/978-3-031-42478-6_15openalex-snapshot
Automatic Approximation of Computer Systems Through Multi-objective Optimization
inferred← citeshttps://doi.org/10.1007/s10115-021-01565-5openalex-snapshot
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2013.08.005openalex-snapshot
Program-based dynamic precision selection framework with a dual-mode unified shader for mobile GPUs
inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102561openalex-snapshot
An Adaptive Congestion-aware Approximate Communication (ACAC) scheme and implementation for Network-on-Chip systems
inferred← citeshttps://doi.org/10.1109/access.2020.2998957openalex-snapshot
xUAVs: Towards Efficient Approximate Computing for UAVs—Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization
inferred← citeshttps://doi.org/10.1109/ahs.2014.6880184openalex-snapshot
Dynamically adaptive and reliable approximate computing using light-weight error analysis
inferred← citeshttps://doi.org/10.1109/ficloud.2017.24openalex-snapshot
Edge-Supported Approximate Analysis for Long Running Computations
inferred← citeshttps://doi.org/10.1109/gucon.2018.8675095openalex-snapshot
Green Data Mining using Approximate Computing: An experimental analysis with Rule Mining
inferred← citeshttps://doi.org/10.1109/hpca.2015.7056067openalex-snapshot
BRAINIAC: Bringing reliable accuracy into neurally-implemented approximate computing
inferred← citeshttps://doi.org/10.1109/iccd.2018.00078openalex-snapshot
DEC-NoC: An Approximate Framework Based on Dynamic Error Control with Applications to Energy-Efficient NoCs
inferred← citeshttps://doi.org/10.1109/iccd50377.2020.00060openalex-snapshot
Throughput-Oriented Spatio-Temporal Optimization in Approximate High-Level Synthesis
inferred← citeshttps://doi.org/10.1109/iiswc.2010.5650333openalex-snapshot
Exploiting approximate value locality for data synchronization on multi-core processors
inferred← citeshttps://doi.org/10.1109/mcsoc51149.2021.00063openalex-snapshot
RELAX: a REconfigurabLe Approximate Network-on-Chip
inferred← citeshttps://doi.org/10.1109/mm.2018.043191123openalex-snapshot
Toward Dynamic Precision Scaling
inferred← citeshttps://doi.org/10.1109/pmbs.2018.8641651openalex-snapshot
Approximating a Multi-Grid Solver
inferred← citeshttps://doi.org/10.1109/tc.2011.79openalex-snapshot
Dynamic Tolerance Region Computing for Multimedia
inferred← citeshttps://doi.org/10.1109/tc.2014.2325827openalex-snapshot
Energy-Efficient Pixel-Arithmetic
inferred← citeshttps://doi.org/10.1109/tc.2020.2989243openalex-snapshot
NOSTalgy: Near-Optimum Run-Time STT-MRAM Quality-Energy Knob Management for Approximate Computing Applications
inferred← citeshttps://doi.org/10.1109/tc.2020.3005083openalex-snapshot
XMeter: Finding Approximable Functions and Predicting Their Accuracy
inferred← citeshttps://doi.org/10.1109/tc.2022.3202721openalex-snapshot
A High-Resilience Imprecise Computing Architecture for Mixed-Criticality Systems
inferred← citeshttps://doi.org/10.1109/tcad.2020.3012235openalex-snapshot
Learning-Based Quality Management for Approximate Communication in Network-on-Chips
inferred← citeshttps://doi.org/10.1109/tetc.2017.2737045openalex-snapshot
LEXACT: Low Energy N-Modular Redundancy Using Approximate Computing for Real-Time Multicore Processors
inferred← citeshttps://doi.org/10.1109/tmm.2012.2232647openalex-snapshot
Branch and Data Herding: Reducing Control and Memory Divergence for Error-Tolerant GPU Applications
inferred← citeshttps://doi.org/10.1109/tpds.2020.2968068openalex-snapshot
An Approximate Communication Framework for Network-on-Chips
inferred← citeshttps://doi.org/10.1109/tvlsi.2022.3224011openalex-snapshot
Approximate Softmax Functions for Energy-Efficient Deep Neural Networks
inferred← citeshttps://doi.org/10.1142/s0218126624300010openalex-snapshot
Approximate Computing: Hardware and Software Techniques, Tools and Their Applications
inferred← citeshttps://doi.org/10.1145/2893356openalex-snapshot
A Survey of Techniques for Approximate Computing
inferred← citeshttps://doi.org/10.1145/3358182openalex-snapshot
High-Level Synthesis of Approximate Designs under Real-Time Constraints
inferred← citeshttps://doi.org/10.1145/3368474.3368492openalex-snapshot
The Effectiveness of Low-Precision Floating Arithmetic on Numerical Codes
inferred← citeshttps://doi.org/10.1145/3387902.3392623openalex-snapshot
Approximate trivial instructions
inferred← citeshttps://doi.org/10.1360/ssm-2021-0013openalex-snapshot
Ten key ICT challenges in the post-Shannon era
inferred← citeshttps://doi.org/10.14257/ijast.2018.119.13openalex-snapshot
The Hardware Accelerated Physics Engine with Operating Parameters Controlling the Numerical Error Tolerance
inferred← citeshttps://doi.org/10.1515/itit-2021-0055openalex-snapshot
A survey of approximate arithmetic circuits and blocks
inferred← citeshttps://doi.org/10.2516/ogst/2018049openalex-snapshot
A language extension set to generate adaptive versions automatically
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.