Nimish Shah

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Network

Directed Acyclic

Bucket Elimination

Efficient Execution

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Giuseppe M. Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis. CoRR (2024)
Giuseppe Maria Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis. IISWC (2023)
Nimish Shah, Wannes Meert, Marian Verhelst
GraphOpt: Constrained-Optimization-Based Parallelization of Irregular Graphs. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm. IEEE J. Solid State Circuits 57 (8) (2022)
Nimish Shah, Wannes Meert, Marian Verhelst
DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. MICRO (2022)
Nimish Shah, Wannes Meert, Marian Verhelst
DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. CoRR (2022)
Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst
Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. DATE (2022)
Nimish Shah, Wannes Meert, Marian Verhelst
GRAPHOPT: constrained optimization-based parallelization of irregular graphs. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm. ISSCC (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. CoRR (2021)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA (2020)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. DATE (2020)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits. IoT Streams/ITEM@PKDD/ECML (2020)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. DAC (2019)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck
Towards Hardware-Aware Tractable Learning of Probabilistic Models. NeurIPS (2019)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications. EMC2@NeurIPS (2019)
Nimish Shah, Paragkumar Chaudhari, Kuruvilla Varghese
Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Renshen Wang, Nimish Shah
Scalable hierarchical floorplanning for fast physical prototyping of systems-on-chip. ISPD (2012)
Nimish Shah
Facial Features Classification Using the Temporal Correlation Matrix Memory (TCMML). SoCPaR (2009)
Nimish Shah, Simon O'Keefe, Jim Austin
The Improved Correlation Matrix Memory (CMML). IJCNN (2007)
Nimish Shah
"Rippling: Meta-Level Guidance for Mathematical Reasoning, " by Alan Bundy, David Basin, Dieter Hutter, and Andrew Ireland, Cambridge University Press, 2005. J. Autom. Reason. 35 (4) (2005)
Nimish Shah
Program Construction: Calculating Implementations from Specifications by R.C. Backhouse, John Wiley & Sons, 2004. J. Funct. Program. 14 (5) (2004)
Nimish Shah
Knowledge Representation, Reasoning and Declarative Problem Solving by C. Baral, Cambridge University Press, 2003. J. Funct. Program. 14 (5) (2004)