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08/03/2023
Targeted Control-flow Transformations for Mitigating Path Explosion in Dynamic Symbolic Execution
Dynamic symbolic execution (DSE) suffers from path explosion problem whe...
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05/26/2023
RT-kNNS Unbound: Using RT Cores to Accelerate Unrestricted Neighbor Search
The problem of identifying the k-Nearest Neighbors (kNNS) of a point has...
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03/16/2023
RT-DBSCAN: Accelerating DBSCAN using Ray Tracing Hardware
General Purpose computing on Graphical Processing Units (GPGPU) has resu...
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09/14/2022
Cornucopia: A Framework for Feedback Guided Generation of Binaries
Binary analysis is an important capability required for many security an...
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08/26/2022
Synthesis of Distributed Agreement-Based Systems with Efficiently-Decidable Verification (Extended Version)
Distributed agreement-based (DAB) systems use common distributed agreeme...
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05/23/2022
SparseLNR: Accelerating Sparse Tensor Computations Using Loop Nest Restructuring
Sparse tensor algebra computations have become important in many real-wo...
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07/12/2021
DARM: Control-Flow Melding for SIMT Thread Divergence Reduction – Extended Version
GPGPUs use the Single-Instruction-Multiple-Thread (SIMT) execution model...
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07/01/2021
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations
Recent work showed that compiling functional programs to use dense, seri...
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04/19/2021
Vectorized Secure Evaluation of Decision Forests
As the demand for machine learning-based inference increases in tandem w...
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09/03/2020
HACCLE: An Ecosystem for Building Secure Multi-Party Computations
Cryptographic techniques have the potential to enable distrusting partie...
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06/22/2020
Quantum Computing Methods for Supervised Learning
The last two decades have seen an explosive growth in the theory and pra...
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04/10/2020
Parameterized Verification of Systems with Global Synchronization and Guards
Inspired by distributed applications that use consensus or other agreeme...
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04/09/2020
Parameterized Reasoning for Distributed Systems with Consensus
Programmers make building distributed systems tractable by using a wide ...
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03/19/2020
Survey of Personalization Techniques for Federated Learning
Federated learning enables machine learning models to learn from private...
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12/25/2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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04/11/2019
