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2020 – today
- 2024
[j43]Md. Adnan Arefeen
, Biplob Debnath, Srimat Chakradhar:
LeanContext: Cost-efficient domain-specific question answering using LLMs. Nat. Lang. Process. J. 7: 100065 (2024)- [c155]Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming. ICC 2024: 4851-4856 - [c154]Priscilla Benedetti, Giuseppe Coviello, Kunal Rao, Srimat Chakradhar:
LARA: Latency-Aware Resource Allocator for Stream Processing Applications. PDP 2024: 68-77 - [c153]Christoph Reich, Biplob Debnath, Deep Patel, Srimat Chakradhar:
Differentiable JPEG: The Devil is in the Details. WACV 2024: 4114-4123 - [i22]Md. Adnan Arefeen, Biplob Debnath, Md. Yusuf Sarwar Uddin, Srimat Chakradhar:
iRAG: An Incremental Retrieval Augmented Generation System for Videos. CoRR abs/2404.12309 (2024) - 2023
- [j42]Yurii Piadyk, João Rulff, Ethan Brewer, Maryam Hosseini, Kaan Ozbay, Murugan Sankaradas, Srimat Chakradhar, Cláudio T. Silva:
StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset. Sensors 23(7): 3710 (2023) - [j41]Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat Chakradhar:
AQuA: A New Image Quality Metric for Optimizing Video Analytics Systems. ACM Trans. Embed. Comput. Syst. 22(4): 74:1-74:29 (2023) - [c152]Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Semantic Multi-Resolution Communications. GLOBECOM (Workshops) 2023: 1591-1596 - [c151]Priscilla Benedetti, Giuseppe Coviello, Kunal Rao, Srimat Chakradhar:
Scale Up while Scaling Out Microservices in Video Analytics Pipelines. MCSoC 2023: 584-591 - [c150]Giuseppe Coviello, Kunal Rao, Ciro Giuseppe De Vita, Gennaro Mellone, Priscilla Benedetti, Srimat Chakradhar:
Content-aware auto-scaling of stream processing applications on container orchestration platforms. PDP 2023: 114-118 - [c149]Kunal Rao, Murugan Sankaradas, Giuseppe Coviello, Ciro Giuseppe De Vita, Gennaro Mellone, Wang-Pin Hsiung, Srimat Chakradhar:
AnB: Application-in-a-Box to Rapidly Deploy and Self-optimize 5G Apps. SMARTCOMP 2023: 82-89 - [c148]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Y. Charlie Hu, Srimat T. Chakradhar:
Elixir: A System to Enhance Data Quality for Multiple Analytics on a Video Stream. SMARTCOMP 2023: 98-107 - [c147]Sumaiya Tabassum Nimi, Md. Adnan Arefeen, Md. Yusuf Sarwar Uddin, Biplob Debnath, Srimat Chakradhar:
FactionFormer: Context-Driven Collaborative Vision Transformer Models for Edge Intelligence. SMARTCOMP 2023: 349-354 - [i21]Sandesh Dhawaskar Sathyanarayana, Murugan Sankaradas, Srimat Chakradhar:
5GLoR: 5G LAN Orchestration for enterprise IoT applications. CoRR abs/2302.02034 (2023) - [i20]Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Semantic Multi-Resolution Communications. CoRR abs/2308.11604 (2023) - [i19]Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Srimat Chakradhar:
Deep Video Codec Control. CoRR abs/2308.16215 (2023) - [i18]Md. Adnan Arefeen, Biplob Debnath, Srimat Chakradhar:
LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs. CoRR abs/2309.00841 (2023) - [i17]Christoph Reich, Biplob Debnath, Deep Patel, Srimat Chakradhar:
Differentiable JPEG: The Devil is in the Details. CoRR abs/2309.06978 (2023) - [i16]Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks. CoRR abs/2310.06857 (2023) - [i15]Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming. CoRR abs/2311.12918 (2023) - 2022
- [j40]Yi Yang, Murugan Sankaradas, Srimat Chakradhar:
DyCo: Dynamic, Contextualized AI Models. ACM Trans. Embed. Comput. Syst. 21(6): 76:1-76:21 (2022) - [c146]Sandesh Dhawaskar Sathyanarayana, Murugan Sankaradas, Srimat Chakradhar:
5GLoR: 5G LAN Orchestration for enterprise IoT applications. FNWF 2022: 28-35 - [c145]Md. Parvez Mollah, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar, Abdullah Mueen:
Efficient Compression Method for Roadside LiDAR Data. CIKM 2022: 3371-3380 - [c144]Giuseppe Coviello, Kunal Rao, Ciro Giuseppe De Vita, Gennaro Mellone, Srimat Chakradhar:
DataXc: Flexible and efficient communication in microservices-based stream analytics pipelines. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-9 - [c143]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It? ECCV Workshops (1) 2022: 430-448 - [c142]Biplob Debnath, Oliver Po, Farhan Asif Chowdhury, Srimat Chakradhar:
Cosine Similarity based Few-Shot Video Classifier with Attention-based Aggregation. ICPR 2022: 1273-1279 - [c141]Priscilla Benedetti, Giuseppe Coviello, Kunal Rao, Srimat Chakradhar:
DataX Allocator: Dynamic resource management for stream analytics at the Edge. IOTSMS 2022: 1-8 - [c140]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning. IOTSMS 2022: 1-9 - [c139]Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung, Oliver Po, Murugan Sankaradas, Srimat Chakradhar:
ROMA: Resource Orchestration for Microservices-based 5G Applications. NOMS 2022: 1-9 - [c138]Giuseppe Coviello, Kunal Rao, Biplob Debnath, Oliver Po, Srimat Chakradhar:
DataXe: A System for Application Self-optimization in Serverless Edge Computing Environments. PerCom Workshops 2022: 699-705 - [c137]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning. SenSys 2022: 291-304 - [c136]Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung, Oliver Po, Murugan Sankaradas, John S. Baras, Srimat Chakradhar:
Application-specific, dynamic reservation of 5G compute and network resources by using reinforcement learning. NAI@SIGCOMM 2022: 19-25 - [c135]Sumaiya Tabassum Nimi, Md. Adnan Arefeen, Md. Yusuf Sarwar Uddin, Biplob Debnath, Srimat Chakradhar:
Chimera: Context-Aware Splittable Deep Multitasking Models for Edge Intelligence. SMARTCOMP 2022: 70-77 - [i14]Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung, Oliver Po, Murugan Sankaradas, Srimat Chakradhar:
ROMA: Resource Orchestration for Microservices-based 5G Applications. CoRR abs/2201.11067 (2022) - [i13]Murugan Sankaradas, Kunal Rao, Ravi Rajendran, Amit Redkar, Srimat Chakradhar:
Edge-based fever screening system over private 5G. CoRR abs/2202.03917 (2022) - [i12]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
Why is the video analytics accuracy fluctuating, and what can we do about it? CoRR abs/2208.12644 (2022) - [i11]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning. CoRR abs/2211.08504 (2022) - [i10]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat T. Chakradhar:
Elixir: A system to enhance data quality for multiple analytics on a video stream. CoRR abs/2212.04061 (2022) - 2021
- [c134]Kunal Rao, Giuseppe Coviello, Wang-Pin Hsiung, Srimat T. Chakradhar:
ECO: Edge-Cloud Optimization of 5G applications. CCGRID 2021: 649-659 - [c133]Biplob Debnath, Giuseppe Coviello, Yi Yang, Srimat Chakradhar:
UAC: An Uncertainty-Aware Face Clustering Algorithm. ICCVW 2021: 3480-3488 - [c132]Giuseppe Coviello, Kunal Rao, Murugan Sankaradas, Srimat Chakradhar:
DataX: A System for Data eXchange and Transformation of Streams. IDC 2021: 319-329 - [c131]Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar:
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems. SEC 2021: 135-147 - [c130]Murugan Sankaradas, Kunal Rao, Ravi Rajendran, Amit Redkar, Srimat Chakradhar:
Edge-based fever screening system over private 5G. SEC 2021: 386-391 - [c129]Giuseppe Coviello, Yi Yang, Kunal Rao, Srimat T. Chakradhar:
Magic-Pipe: self-optimizing video analytics pipelines. Middleware 2021: 79-90 - [c128]Murugan Sankaradas, Kunal Rao, Srimat Chakradhar:
AppSlice: A system for application-centric design of 5G and edge computing applications. NoF 2021: 1-5 - [c127]Kunal Rao, Murugan Sankaradas, Vivek Aswal, Srimat Chakradhar:
SmartSlice: Dynamic, self-optimization of application's QoS requests to 5G networks. SDS 2021: 1-7 - [c126]Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, Srimat T. Chakradhar:
F3S: Free Flow Fever Screening. SMARTCOMP 2021: 276-285 - [i9]Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar:
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems. CoRR abs/2101.09752 (2021) - [i8]Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradass, Oliver Po, Y. Charlie Hu, Srimat T. Chakradhar:
CamTuner: Reinforcement-Learning based System for Camera Parameter Tuning to enhance Analytics. CoRR abs/2107.03964 (2021) - [i7]Kunal Rao, Giuseppe Coviello, Wang-Pin Hsiung, Srimat T. Chakradhar:
ECO: Edge-Cloud Optimization of 5G applications. CoRR abs/2109.01201 (2021) - [i6]Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, Srimat T. Chakradhar:
F3S: Free Flow Fever Screening. CoRR abs/2109.01733 (2021) - [i5]Murugan Sankaradass, Kunal Rao, Srimat T. Chakradhar:
AppSlice: A system for application-centric design of 5G and edge computing applications. CoRR abs/2109.01737 (2021) - [i4]Giuseppe Coviello, Kunal Rao, Murugan Sankaradass, Srimat T. Chakradhar:
DataX: A system for Data eXchange and transformation of streams. CoRR abs/2111.04959 (2021) - [i3]Kunal Rao, Murugan Sankaradass, Vivek Aswal, Srimat T. Chakradhar:
SmartSlice: Dynamic, self-optimization of applications QoS requests to 5G networks. CoRR abs/2111.09955 (2021)
2010 – 2019
- 2018
- [j39]Naresh Rapolu, Srimat Chakradhar, Ananth Grama:
VAYU: Accelerating stream processing applications through dynamic network-aware topology re-optimization. J. Parallel Distributed Comput. 111: 13-23 (2018) - 2017
- [j38]Linnan Wang, Yi Yang, Renqiang Min, Srimat T. Chakradhar:
Accelerating deep neural network training with inconsistent stochastic gradient descent. Neural Networks 93: 219-229 (2017) - 2016
- [c125]Yi Yang, Min Feng, Srimat T. Chakradhar:
HppCnn: A High-Performance, Portable Deep-Learning Library for GPGPUs. ICPP 2016: 582-587 - [c124]Chao Li, Yi Yang, Min Feng, Srimat T. Chakradhar, Huiyang Zhou:
Optimizing memory efficiency for deep convolutional neural networks on GPUs. SC 2016: 633-644 - [i2]Linnan Wang, Yi Yang, Martin Renqiang Min, Srimat T. Chakradhar:
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent. CoRR abs/1603.05544 (2016) - [i1]Chao Li, Yi Yang, Min Feng, Srimat T. Chakradhar, Huiyang Zhou:
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs. CoRR abs/1610.03618 (2016) - 2015
- [c123]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Approximate computing and the quest for computing efficiency. DAC 2015: 120:1-120:6 - [c122]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Computing approximately, and efficiently. DATE 2015: 748-751 - [c121]Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar:
Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors. LCPC 2015: 173-190 - 2014
- [j37]Vinay Kumar Chippa, Debabrata Mohapatra, Kaushik Roy, Srimat T. Chakradhar, Anand Raghunathan:
Scalable Effort Hardware Design. IEEE Trans. Very Large Scale Integr. Syst. 22(9): 2004-2016 (2014) - [c120]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Approximate computing for efficient information processing. ESTIMedia 2014: 9-10 - [c119]Arash Rezaei, Giuseppe Coviello, Cheng-Hong Li, Srimat T. Chakradhar, Frank Mueller:
Snapify: capturing snapshots of offload applications on xeon phi manycore processors. HPDC 2014: 1-12 - [c118]Da Li, Srimat T. Chakradhar, Michela Becchi:
GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors. ICPADS 2014: 174-182 - [c117]Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar:
Automating and optimizing data transfers for many-core coprocessors. ICS 2014: 177 - [c116]Giuseppe Coviello, Srihari Cadambi, Srimat T. Chakradhar:
A Coprocessor Sharing-Aware Scheduler for Xeon Phi-Based Compute Clusters. IPDPS 2014: 337-346 - [c115]Linhai Song, Min Feng, Nishkam Ravi, Yi Yang, Srimat T. Chakradhar:
COMP: Compiler Optimizations for Manycore Processors. MICRO 2014: 659-671 - [c114]Faraz Ahmad, Srimat T. Chakradhar, Anand Raghunathan, T. N. Vijaykumar:
ShuffleWatcher: Shuffle-aware Scheduling in Multi-tenant MapReduce Clusters. USENIX ATC 2014: 1-12 - 2013
- [j36]Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar:
Scheduling concurrent applications on a cluster of CPU-GPU nodes. Future Gener. Comput. Syst. 29(8): 2262-2271 (2013) - [j35]Vinay K. Chippa, Kaushik Roy, Srimat T. Chakradhar, Anand Raghunathan:
Managing the Quality vs. Efficiency Trade-off Using Dynamic Effort Scaling. ACM Trans. Embed. Comput. Syst. 12(2s): 90:1-90:23 (2013) - [c113]Naresh Rapolu, Srimat Chakradhar, Adnan Hassan, Ananth Grama:
M-Lock: Accelerating Distributed Transactions on Key-Value Stores through Dynamic Lock Localization. IEEE CLOUD 2013: 179-187 - [c112]Vinay K. Chippa, Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Approximate computing: An integrated hardware approach. ACSSC 2013: 111-117 - [c111]Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Analysis and characterization of inherent application resilience for approximate computing. DAC 2013: 113:1-113:9 - [c110]Srihari Cadambi, Giuseppe Coviello, Cheng-Hong Li, Rajat Phull, Kunal Rao, Murugan Sankaradass, Srimat T. Chakradhar:
COSMIC: middleware for high performance and reliable multiprocessing on xeon phi coprocessors. HPDC 2013: 215-226 - [c109]Swagath Venkataramani, Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Quality programmable vector processors for approximate computing. MICRO 2013: 1-12 - [c108]Nishkam Ravi, Yi Yang, Tao Bao, Srimat T. Chakradhar:
Semi-automatic restructuring of offloadable tasks for many-core accelerators. SC 2013: 12:1-12:12 - 2012
- [j34]Abhinandan Majumdar, Srihari Cadambi, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf:
A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification. ACM Trans. Archit. Code Optim. 9(1): 6:1-6:30 (2012) - [c107]Faraz Ahmad, Srimat T. Chakradhar, Anand Raghunathan, T. N. Vijaykumar:
Tarazu: optimizing MapReduce on heterogeneous clusters. ASPLOS 2012: 61-74 - [c106]Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar:
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. CCGRID 2012: 140-147 - [c105]Jun Liu, Nishkam Ravi, Srimat T. Chakradhar, Mahmut T. Kandemir:
Panacea: towards holistic optimization of MapReduce applications. CGO 2012: 33-43 - [c104]Reza Farivar, Anand Raghunathan, Srimat T. Chakradhar, Harshit Kharbanda, Roy H. Campbell:
PIC: Partitioned Iterative Convergence for Clusters. CLUSTER 2012: 391-401 - [c103]Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar:
A virtual memory based runtime to support multi-tenancy in clusters with GPUs. HPDC 2012: 97-108 - [c102]Rajat Phull, Cheng-Hong Li, Kunal Rao, Srihari Cadambi, Srimat T. Chakradhar:
Interference-driven resource management for GPU-based heterogeneous clusters. HPDC 2012: 109-120 - [c101]Nishkam Ravi, Yi Yang, Tao Bao, Srimat T. Chakradhar:
Apricot: an optimizing compiler and productivity tool for x86-compatible many-core coprocessors. ICS 2012: 47-58 - [c100]Haicheng Wu, Gregory F. Diamos, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat T. Chakradhar:
Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops 2012: 2433-2442 - [c99]Jacques A. Pienaar, Srimat T. Chakradhar, Anand Raghunathan:
Automatic generation of software pipelines for heterogeneous parallel systems. SC 2012: 24 - [c98]Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar:
ValuePack: value-based scheduling framework for CPU-GPU clusters. SC 2012: 53 - [e1]Vishwani D. Agrawal, Srimat T. Chakradhar:
25th International Conference on VLSI Design, Hyderabad, India, January 7-11, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-0438-2 [contents] - 2011
- [j33]Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar:
An Energy-Efficient Heterogeneous System for Embedded Learning and Classification. IEEE Embed. Syst. Lett. 3(1): 42-45 (2011) - [c97]M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali Raza Butt, Srimat T. Chakradhar:
Symphony: A Scheduler for Client-Server Applications on Coprocessor-Based Heterogeneous Clusters. CLUSTER 2011: 353-362 - [c96]Vinay K. Chippa, Anand Raghunathan, Kaushik Roy, Srimat T. Chakradhar:
Dynamic effort scaling: managing the quality-efficiency tradeoff. DAC 2011: 603-608 - [c95]M. Mustafa Rafique, Nishkam Ravi, Srihari Cadambi, Ali Raza Butt, Srimat T. Chakradhar:
Power management for heterogeneous clusters: An experimental study. IGCC 2011: 1-8 - [c94]Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar:
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC 2011: 217-228 - [c93]Dong Li, Surendra Byna, Srimat T. Chakradhar:
Energy-Aware Workload Consolidation on GPU. ICPP Workshops 2011: 389-398 - [c92]Jacques A. Pienaar, Anand Raghunathan, Srimat T. Chakradhar:
MDR: performance model driven runtime for heterogeneous parallel platforms. ICS 2011: 225-234 - [c91]Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar, Hans Peter Graf:
A parallel accelerator for semantic search. SASP 2011: 122-128 - 2010
- [j32]Lei Yang, Robert P. Dick, Haris Lekatsas, Srimat T. Chakradhar:
Online memory compression for embedded systems. ACM Trans. Embed. Comput. Syst. 9(3): 27:1-27:30 (2010) - [j31]Lei Yang, Robert P. Dick, Haris Lekatsas, Srimat T. Chakradhar:
High-performance operating system controlled online memory compression. ACM Trans. Embed. Comput. Syst. 9(4): 30:1-30:28 (2010) - [c90]Srihari Cadambi, Abhinandan Majumdar, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf:
A programmable parallel accelerator for learning and classification. PACT 2010: 273-284 - [c89]Surendra Byna, Jiayuan Meng, Anand Raghunathan, Srimat T. Chakradhar, Srihari Cadambi:
Best-effort semantic document search on GPUs. GPGPU 2010: 86-93 - [c88]Vinay K. Chippa, Debabrata Mohapatra, Anand Raghunathan, Kaushik Roy, Srimat T. Chakradhar:
Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency. DAC 2010: 555-560 - [c87]Srimat T. Chakradhar, Anand Raghunathan:
Best-effort computing: re-thinking parallel software and hardware. DAC 2010: 865-870 - [c86]Jiayuan Meng, Anand Raghunathan, Srimat T. Chakradhar, Surendra Byna:
Exploiting the forgiving nature of applications for scalable parallel execution. IPDPS 2010: 1-12 - [c85]Srimat T. Chakradhar, Murugan Sankaradass, Venkata Jakkula, Srihari Cadambi:
A dynamically configurable coprocessor for convolutional neural networks. ISCA 2010: 247-257 - [c84]Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat T. Chakradhar:
Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. SPAA 2010: 82-91
2000 – 2009
- 2009
- [c83]Murugan Sankaradass, Venkata Jakkula, Srihari Cadambi, Srimat T. Chakradhar, Igor Durdanovic, Eric Cosatto, Hans Peter Graf:
A Massively Parallel Coprocessor for Convolutional Neural Networks. ASAP 2009: 53-60 - [c82]Srihari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat T. Chakradhar, Hans Peter Graf:
A Massively Parallel FPGA-Based Coprocessor for Support Vector Machines. FCCM 2009: 115-122 - [c81]Jiayuan Meng, Srimat T. Chakradhar, Anand Raghunathan:
Best-effort parallel execution framework for Recognition and mining applications. IPDPS 2009: 1-12 - [c80]Narayanan Sundaram, Anand Raghunathan, Srimat T. Chakradhar:
A framework for efficient and scalable execution of domain-specific templates on GPUs. IPDPS 2009: 1-12 - 2008
- [c79]Janar Thoguluva, Anand Raghunathan, Srimat T. Chakradhar:
Efficient Software Architecture for IPSec Acceleration Using a Programmable Security Processor. DATE 2008: 1148-1153 - [c78]Nupur Kothari, Kiran Nagaraja, Vijay Raghunathan, Florin Sultan, Srimat T. Chakradhar:
HERMES: A Software Architecture for Visibility and Control in Wireless Sensor Network Deployments. IPSN 2008: 395-406 - [c77]Hans Peter Graf, Srihari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat T. Chakradhar:
A Massively Parallel Digital Learning Processor. NIPS 2008: 529-536 - 2007
- [j30]Divya Arora, Anand Raghunathan, Srivaths Ravi, Murugan Sankaradass, Niraj K. Jha, Srimat T. Chakradhar:
Exploring Software Partitions for Fast Security Processing on a Multiprocessor Mobile SoC. IEEE Trans. Very Large Scale Integr. Syst. 15(6): 699-710 (2007) - [c76]Seongmoon Wang, Wenlong Wei, Srimat T. Chakradhar:
A High Compression and Short Test Sequence Test Compression Technique to Enhance Compressions of LFSR Reseeding. ATS 2007: 79-86 - [c75]Seongmoon Wang, Wenlong Wei, Srimat T. Chakradhar:
Unknown blocking scheme for low control data volume and high observability. DATE 2007: 33-38 - [c74]