S. Cadambi

发表

A dynamically configurable coprocessor for convolutional neural networks

Srihari Cadambi, Srimat T. Chakradhar, Murugan Sankaradass, 2010, ISCA.

Memory-Efficient Regular Expression Search Using State Merging

Srihari Cadambi, Michela Becchi, S. Cadambi, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

Chisel: A Storage-efficient, Collision-free Hash-based Network Processing Architecture

Srihari Cadambi, Srimat T. Chakradhar, Venkata Jakkula, 2006, 33rd International Symposium on Computer Architecture (ISCA'06).

Enabling Legacy Applications on Heterogeneous Platforms

S. Chakradhar, S. Cadambi, M. Becchi, 2010 .

PipeRench: a coprocessor for streaming multimedia acceleration

M. Budiu, S. Cadambi, H. Schmit, 1999, Proceedings of the 26th International Symposium on Computer Architecture (Cat. No.99CB36367).

cient Place and Route for Pipeline Recon gurable Architectures

S. Cadambi, S. Goldstein, 2022 .

Scaling Up Machine Learning: Massive SVM Parallelization Using Hardware Accelerators

Srihari Cadambi, Srimat T. Chakradhar, Igor Durdanovic, 2011 .

A fast, inexpensive and scalable hardware acceleration technique for functional simulation

P. Ashar, S. Cadambi, C. Mulpuri, 2002, Proceedings 2002 Design Automation Conference (IEEE Cat. No.02CH37324).

PipeRench: A Reconfigurable Architecture and Compiler

Seth Copen Goldstein, Mihai Budiu, Srihari Cadambi, 2000, Computer.

A programmable parallel accelerator for learning and classification

Srihari Cadambi, Srimat T. Chakradhar, Michela Becchi, 2010, 2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT).

A Massively Parallel Coprocessor for Convolutional Neural Networks

Srihari Cadambi, Srimat T. Chakradhar, Igor Durdanovic, 2009, 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors.

Symphony: A Scheduler for Client-Server Applications on Coprocessor-Based Heterogeneous Clusters

Srihari Cadambi, Srimat T. Chakradhar, Ali Raza Butt, 2011, 2011 IEEE International Conference on Cluster Computing.

A Massively Parallel FPGA-Based Coprocessor for Support Vector Machines

Srihari Cadambi, Srimat T. Chakradhar, Igor Durdanovic, 2009, 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines.

Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission

Sudhakar Yalamanchili, Srihari Cadambi, Srimat T. Chakradhar, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Pipeline Reconfigurable FPGAs

Seth Copen Goldstein, Srihari Cadambi, Herman Schmit, 2000, J. VLSI Signal Process..

Power management for heterogeneous clusters: An experimental study

Srihari Cadambi, Srimat T. Chakradhar, Ali Raza Butt, 2011, 2011 International Green Computing Conference and Workshops.

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

Sudhakar Yalamanchili, Srihari Cadambi, Haicheng Wu, 2012, 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture.

CPR: a configuration profiling tool

S. Cadambi, S.C. Goldstein, S. Cadambi, 1999, Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00375).

Interference-driven resource management for GPU-based heterogeneous clusters

Srihari Cadambi, Srimat T. Chakradhar, Cheng-Hong Li, 2012, HPDC '12.

A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification

Srihari Cadambi, Srimat T. Chakradhar, Michela Becchi, 2012, TACO.

Using hardware transactional memory for data race detection

Shantanu Gupta, Martin Rötteler, Srihari Cadambi, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

RaceTM: detecting data races using transactional memory

Shantanu Gupta, Martin Rötteler, Srihari Cadambi, 2008, SPAA '08.

Announcement : RaceTM – Detecting Data Races Using Transactional Memory

S. Cadambi, Franjo Ivancic, M. Roetteler, 2008 .

Retrospective: A dynamically configurable coprocessor for convolutional neural networks

S. Chakradhar, S. Cadambi, Murugan Sankaradas, 2023 .