Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChita R. Das
Person information
- affiliation: Penn State, University Park, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c214]Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. ICDCS 2023: 1-12- [c213]Rishabh Jain
, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das:
Optimizing CPU Performance for Recommendation Systems At-Scale. ISCA 2023: 77:1-77:15 - [c212]Ziyu Ying, Sandeepa Bhuyan, Yan Kang, Yingtian Zhang, Mahmut T. Kandemir, Chita R. Das:
EdgePC: Efficient Deep Learning Analytics for Point Clouds on Edge Devices. ISCA 2023: 78:1-78:14 - [c211]Sadia Anjum Tumpa, Sonali Singh, Md Fahim Faysal Khan, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan, Chita R. Das:
Federated Learning with Spiking Neural Networks in Heterogeneous Systems. ISVLSI 2023: 1-6 - 2022
- [j62]Sandeepa Bhuyan, Shulin Zhao, Ziyu Ying, Mahmut T. Kandemir, Chita R. Das:
End-to-end Characterization of Game Streaming Applications on Mobile Platforms. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 10:1-10:25 (2022) - [c210]Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das:
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. IEEE Big Data 2022: 423-430 - [c209]Vivek M. Bhasi, Jashwant Raj Gunasekaran, Aakash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. SoCC 2022: 257-272 - [c208]Ziyu Ying, Shulin Zhao, Haibo Zhang, Cyan Subhra Mishra, Sandeepa Bhuyan, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Exploiting Frame Similarity for Efficient Inference on Edge Devices. ICDCS 2022: 1073-1084 - [c207]Ziyu Ying, Shulin Zhao, Sandeepa Bhuyan, Cyan Subhra Mishra, Mahmut T. Kandemir, Chita R. Das:
Pushing Point Cloud Compression to the Edge. MICRO 2022: 282-299 - [c206]Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das:
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO 2022: 565-581 - [c205]Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Cocktail: A Multidimensional Optimization for Model Serving in Cloud. NSDI 2022: 1041-1057 - [c204]Sandeepa Bhuyan, Shulin Zhao, Ziyu Ying, Mahmut T. Kandemir, Chita R. Das:
End-to-end Characterization of Game Streaming Applications on Mobile Platforms. SIGMETRICS (Abstracts) 2022: 11-12 - [i11]Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Analysis of Distributed Deep Learning in the Cloud. CoRR abs/2208.14344 (2022) - 2021
- [c203]Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das:
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CCGRID 2021: 227-236 - [c202]Vivek M. Bhasi, Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das:
Kraken: Adaptive Container Provisioning for Deploying Dynamic DAGs in Serverless Platforms. SoCC 2021: 153-167 - [c201]Chun-Yi Liu, Yunju Lee, Wonil Choi, Myoungsoo Jung, Mahmut Taylan Kandemir, Chita R. Das:
GSSA: A Resource Allocation Scheme Customized for 3D NAND SSDs. HPCA 2021: 426-439 - [c200]Gulsum Gudukbay, Jashwant Raj Gunasekaran, Yilin Feng, Mahmut T. Kandemir, Anton Nekrutenko, Chita R. Das, Paul Medvedev, Björn A. Grüning, Nate Coraor, Nathan Roach, Enis Afgan:
GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping. IPDPS Workshops 2021: 194-203 - [c199]Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das:
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. ISLPED 2021: 1-6 - [c198]Shulin Zhao, Haibo Zhang, Cyan Subhra Mishra, Sandeepa Bhuyan, Ziyu Ying, Mahmut Taylan Kandemir, Anand Sivasubramaniam, Chita R. Das:
HoloAR: On-the-fly Optimization of 3D Holographic Processing for Augmented Reality. MICRO 2021: 494-506 - [c197]Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das:
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training. NeurIPS 2021: 24545-24555 - [i10]Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran, Mahmut Taylan Kandemir, Chita R. Das:
Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud. CoRR abs/2106.05345 (2021) - [i9]Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das:
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training. CoRR abs/2106.12089 (2021) - [i8]Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das:
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs. CoRR abs/2109.07710 (2021) - 2020
- [c196]Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran, Josh Simons, Mahmut T. Kandemir, Chita R. Das:
Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters. CCGRID 2020: 131-141 - [c195]Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram Nachiappan, Ram Srivatsa Kannan, Mahmut Taylan Kandemir, Chita R. Das:
Characterizing Bottlenecks in Scheduling Microservices on Serverless Platforms. ICDCS 2020: 1197-1198 - [c194]Prasanna Venkatesh Rengasamy, Haibo Zhang, Shulin Zhao, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Selective Event Processing for Energy Efficient Mobile Gaming with SNIP. IISWC 2020: 288-299 - [c193]Shulin Zhao, Haibo Zhang, Sandeepa Bhuyan, Cyan Subhra Mishra, Ziyu Ying, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Déjà View: Spatio-Temporal Compute Reuse for' Energy-Efficient 360° VR Video Streaming. ISCA 2020: 241-253 - [c192]Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das:
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA 2020: 363-376 - [c191]Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran, Mahmut Taylan Kandemir, Chita R. Das:
Implications of Public Cloud Resource Heterogeneity for Inference Serving. WOSC@Middleware 2020: 7-12 - [c190]Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram Nachiappan, Mahmut Taylan Kandemir, Chita R. Das:
Fifer: Tackling Resource Underutilization in the Serverless Era. Middleware 2020: 280-295 - [c189]Amin Jadidi, Mahmut T. Kandemir, Chita R. Das:
Selective Caching: Avoiding Performance Valleys in Massively Parallel Architectures. PDP 2020: 290-298 - [i7]Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran, Josh Simons, Mahmut Taylan Kandemir, Chita R. Das:
Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters. CoRR abs/2006.12560 (2020) - [i6]Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das:
Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud. CoRR abs/2008.09491 (2020) - [i5]Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram Nachiappan, Mahmut T. Kandemir, Chita R. Das:
Fifer: Tackling Underutilization in the Serverless Era. CoRR abs/2008.12819 (2020) - [i4]Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das:
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CoRR abs/2009.04561 (2020)
2010 – 2019
- 2019
- [c188]Jashwant Raj Gunasekaran, Prashanth Thinakaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar, George Kesidis, Chita R. Das:
Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud. CLOUD 2019: 199-208 - [c187]Chun-Yi Liu, Jagadish B. Kotra, Myoungsoo Jung, Mahmut T. Kandemir, Chita R. Das:
SOML Read: Rethinking the Read Operation Granularity of 3D NAND SSDs. ASPLOS 2019: 955-969 - [c186]Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters. CLUSTER 2019: 1-13 - [c185]Shulin Zhao, Prasanna Venkatesh Rengasamy, Haibo Zhang, Sandeepa Bhuyan, Nachiappan Chidambaram Nachiappan, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das:
Understanding Energy Efficiency in IoT App Executions. ICDCS 2019: 742-755 - [c184]Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Opportunistic computing in GPU architectures. ISCA 2019: 210-223 - [c183]Anup Sarma, Huaipan Jiang, Ashutosh Pattnaik, Jagadish Kotra, Mahmut Taylan Kandemir, Chita R. Das:
CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference. MEMSYS 2019: 396-407 - [c182]Haibo Zhang, Shulin Zhao, Ashutosh Pattnaik, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Distilling the Essence of Raw Video to Reduce Memory Usage and Energy at Edge Devices. MICRO 2019: 657-669 - [c181]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. SIGMETRICS (Abstracts) 2019: 25-26 - 2018
- [j61]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. Proc. ACM Meas. Anal. Comput. Syst. 2(3): 39:1-39:24 (2018) - [j60]Amin Jadidi, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das:
Performance and Power-Efficient Design of Dense Non-Volatile Cache in CMPs. IEEE Trans. Computers 67(7): 1054-1061 (2018) - [j59]Farshid Farhat, Diman Zad Tootaghaj, Yuxiong He, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Stochastic Modeling and Optimization of Stragglers. IEEE Trans. Cloud Comput. 6(4): 1164-1177 (2018) - [c180]Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut T. Kandemir, Chita R. Das:
The Curious Case of Container Orchestration and Scheduling in GPU-based Datacenters. SoCC 2018: 524 - [c179]Haibo Zhang, Prasanna Venkatesh Rengasamy, Nachiappan Chidambaram Nachiappan, Shulin Zhao, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
FLOSS: FLOw sensitive scheduling on mobile platforms. DAC 2018: 173:1-173:6 - [c178]Wonil Choi, Myoungsoo Jung, Mahmut T. Kandemir, Chita R. Das:
Parallelizing garbage collection with I/O to improve flash resource utilization. HPDC 2018: 243-254 - [c177]Nima Elyasi, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Reviving Zombie Pages on SSDs. IISWC 2018: 156-167 - [c176]Amin Jadidi, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das:
Hybrid-comp: A criticality-aware compressed last-level cache. ISQED 2018: 25-30 - [c175]Nima Elyasi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Content Popularity-Based Selective Replication for Read Redirection in SSDs. MASCOTS 2018: 1-15 - [c174]Amin Jadidi, Mahmut T. Kandemir, Chita R. Das:
Tolerating Write Disturbance Errors in PCM: Experimental Characterization, Analysis, and Mechanisms. MASCOTS 2018: 53-65 - [c173]Prasanna Venkatesh Rengasamy, Haibo Zhang, Shulin Zhao, Nachiappan Chidambaram Nachiappan, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
CritICs Critiquing Criticality in Mobile Apps. MICRO 2018: 867-880 - [c172]Huaipan Jiang, Anup Sarma, Jihyun Ryoo, Jagadish B. Kotra, Meena Arunachalam, Chita R. Das, Mahmut T. Kandemir:
A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation. SoCC 2018: 227-232 - [i3]Rachata Ausavarungnirun, Saugata Ghose, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Mahmut T. Kandemir, Onur Mutlu:
Holistic Management of the GPGPU Memory Hierarchy to Manage Warp-level Latency Tolerance. CoRR abs/1804.11038 (2018) - 2017
- [j58]Mohammad Arjomand, Amin Jadidi, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
HL-PCM: MLC PCM Main Memory with Accelerated Read. IEEE Trans. Parallel Distributed Syst. 28(11): 3188-3200 (2017) - [c171]Nima Elyasi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das, Myoungsoo Jung:
Exploiting Intra-Request Slack to Improve SSD Performance. ASPLOS 2017: 375-388 - [c170]Wei-Yu Tsai, Jinhang Choi, Tulika Parija, Priyanka Gomatam, Chita R. Das, John Sampson, Vijaykrishnan Narayanan:
Co-training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks. DAC 2017: 58:1-58:6 - [c169]Amin Jadidi, Mohammad Arjomand, Mohammad Khavari Tavana, David R. Kaeli, Mahmut T. Kandemir, Chita R. Das:
Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in PCM Memories. DSN 2017: 85-96 - [c168]Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das:
Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA 2017: 649-660 - [c167]Mohammad Arjomand, Amin Jadidi, Mahmut T. Kandemir, Chita R. Das:
Leveraging value locality for efficient design of a hybrid cache in multicore processors. ICCAD 2017: 1-8 - [c166]Wonil Choi, Myoungsoo Jung, Mahmut T. Kandemir, Chita R. Das:
A Scale-Out Enterprise Storage Architecture. ICCD 2017: 549-556 - [c165]Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Phoenix: A Constraint-Aware Scheduler for Heterogeneous Datacenters. ICDCS 2017: 977-987 - [c164]Prasanna Venkatesh Rengasamy, Haibo Zhang, Nachiappan Chidambaram Nachiappan, Shulin Zhao, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Characterizing diverse handheld apps for customized hardware acceleration. IISWC 2017: 187-196 - [c163]Jagadish B. Kotra, Diana R. Guttman, Nachiappan Chidambaram Nachiappan, Mahmut T. Kandemir, Chita R. Das:
Quantifying the Potential Benefits of On-chip Near-Data Computing in Manycore Processors. MASCOTS 2017: 198-209 - [c162]Akbar Sharifi, Wei Ding, Diana R. Guttman, Hui Zhao, Xulong Tang, Mahmut T. Kandemir, Chita R. Das:
DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories. MASCOTS 2017: 210-220 - [c161]Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das, David R. Kaeli:
REMAP: a reliability/endurance mechanism for advancing PCM. MEMSYS 2017: 385-398 - [c160]Haibo Zhang, Prasanna Venkatesh Rengasamy, Shulin Zhao, Nachiappan Chidambaram Nachiappan, Anand Sivasubramaniam, Mahmut T. Kandemir, Ravi R. Iyer, Chita R. Das:
Race-to-sleep + content caching + display caching: a recipe for energy-efficient video streaming on handhelds. MICRO 2017: 517-531 - [c159]Amin Jadidi, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das:
A Study on Performance and Power Efficiency of Dense Non-Volatile Caches in Multi-Core Systems. SIGMETRICS (Abstracts) 2017: 27-28 - [c158]Amin Jadidi, Mohammad Arjomand, Mahmut Taylan Kandemir, Chita R. Das:
Optimizing energy consumption in GPUS through feedback-driven CTA scheduling. SpringSim (HPC) 2017: 12:1-12:12 - [i2]Amin Jadidi, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das:
A Study on Performance and Power Efficiency of Dense Non-Volatile Caches in Multi-Core Systems. CoRR abs/1704.05044 (2017) - 2016
- [c157]Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
μC-States: Fine-grained GPU Datapath Power Management. PACT 2016: 17-30 - [c156]Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das:
Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT 2016: 31-44 - [c155]Jagadish Kotra, Mohammad Arjomand, Diana R. Guttman, Mahmut T. Kandemir, Chita R. Das:
Re-NUCA: A Practical NUCA Architecture for ReRAM Based Last-Level Caches. IPDPS 2016: 576-585 - [c154]Mohammad Arjomand, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Boosting Access Parallelism to PCM-Based Main Memory. ISCA 2016: 695-706 - [c153]Mohammad Arjomand, Amin Jadidi, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
MLC PCM main memory with accelerated read. ISPASS 2016: 143-144 - [c152]Narges Shahidi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Storage consolidation: Not always a panacea, but can we ease the pain? ISPASS 2016: 159-160 - [c151]Jia Zhan, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Yuan Xie:
OSCAR: Orchestrating STT-RAM cache traffic for heterogeneous CPU-GPU architectures. MICRO 2016: 28:1-28:13 - [c150]Narges Shahidi, Mohammad Arjomand, Myoungsoo Jung, Mahmut T. Kandemir, Chita R. Das, Anand Sivasubramaniam:
Exploring the potentials of parallel garbage collection in SSDs for enterprise storage systems. SC 2016: 561-572 - [c149]Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Exploiting Core Criticality for Enhanced GPU Performance. SIGMETRICS 2016: 351-363 - [i1]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Saugata Ghose, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps. CoRR abs/1602.01348 (2016) - 2015
- [j57]Guido Araujo, Jean-Luc Gaudiot, Manish Parashar, Derek Chiou, José Nelson Amaral, Chita R. Das:
Guest Editorial: SBAC-PAD 2013. Int. J. Parallel Program. 43(6): 961-964 (2015) - [c148]Rachata Ausavarungnirun, Saugata Ghose, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Mahmut T. Kandemir, Onur Mutlu:
Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance. PACT 2015: 25-38 - [c147]Prasanna Venkatesh Rengasamy, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Exploiting Staleness for Approximating Loads on CMPs. PACT 2015: 343-354 - [c146]Narges Shahidi, Anand Sivasubramanian, Mahmut T. Kandemir, Chita R. Das:
Storage Consolidation on SSDs: Not Always a Panacea, but Can We Ease the Pain? PACT 2015: 498-499 - [c145]Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T. Kandemir, Ravishankar R. Iyer, Chita R. Das:
Domain knowledge based energy management in handhelds. HPCA 2015: 150-160 - [c144]Diman Zad Tootaghaj, Farshid Farhat, Mohammad Arjomand, Paolo Faraboschi, Mahmut Taylan Kandemir, Anand Sivasubramaniam, Chita R. Das:
Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost. IISWC 2015: 203-212 - [c143]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps. ISCA 2015: 41-53 - [c142]Nachiappan Chidambaram Nachiappan, Haibo Zhang, Jihyun Ryoo, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T. Kandemir, Ravishankar R. Iyer, Chita R. Das:
VIP: virtualizing IP chains on handheld platforms. ISCA 2015: 655-667 - [c141]Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das:
Anatomy of GPU Memory System for Multi-Application Execution. MEMSYS 2015: 223-234 - [e3]Gordon J. Brebner, Alex Bachmutsky, Chita R. Das:
Proceedings of the Eleventh ACM/IEEE Symposium on Architectures for networking and communications systems, ANCS 2015, Oakland, CA, USA, May 7-8, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6632-8 [contents] - 2014
- [c140]Wei Ding, Mahmut T. Kandemir, Diana R. Guttman, Adwait Jog, Chita R. Das, Praveen Yedlapalli:
Trading cache hit rate for memory performance. PACT 2014: 357-368 - [c139]Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das:
Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications. GPGPU@ASPLOS 2014: 1 - [c138]Onur Kayiran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
Managing GPU Concurrency in Heterogeneous Architectures. MICRO 2014: 114-126 - [c137]Praveen Yedlapalli, Nachiappan Chidambaram Nachiappan, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Short-Circuiting Memory Traffic in Handheld Platforms. MICRO 2014: 166-177 - [c136]Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
GemDroid: a framework to evaluate mobile platforms. SIGMETRICS 2014: 355-366 - 2013
- [j56]Shrawan Chittoor Surender, Ram M. Narayanan, Chita R. Das:
Cross-layered resource allocation in UWB noise-OFDM-based ad hoc surveillance networks. EURASIP J. Wirel. Commun. Netw. 2013: 4 (2013) - [j55]Diana Marculescu, Chita R. Das:
Editorial to special section on networks on chip: Architecture, tools, and methodologies. ACM Trans. Design Autom. Electr. Syst. 18(4): 45:1-45:2 (2013) - [c135]Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das:
Neither more nor less: Optimizing thread-level parallelism for GPGPUs. PACT 2013: 157-166 - [c134]Praveen Yedlapalli, Jagadish Kotra, Emre Kultursay, Mahmut T. Kandemir, Chita R. Das, Anand Sivasubramaniam:
Meeting midway: Improving CMP performance with memory-side prefetching. PACT 2013: 289-298 - [c133]Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance. ASPLOS 2013: 395-406 - [c132]Asit K. Mishra, Onur Mutlu, Chita R. Das:
A heterogeneous multiple network-on-chip design: an application-aware approach. DAC 2013: 36:1-36:10 - [c131]Bikash Sharma, Praveen Jayachandran, Akshat Verma, Chita R. Das:
CloudPD: Problem determination and diagnosis in shared dynamic clouds. DSN 2013: 1-12 - [c130]Bikash Sharma, Timothy Wood, Chita R. Das:
HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Data Centers. ICDCS 2013: 102-111 - [c129]Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Orchestrated scheduling and prefetching for GPGPUs. ISCA 2013: 332-343 - 2012
- [j54]Sunho Lim, Chansu Yu, Chita R. Das:
Cache invalidation strategies for Internet-based vehicular ad hoc networks. Comput. Commun. 35(3): 380-391 (2012) - [c128]Bikash Sharma, Ramya Prabhakar, Seung-Hwan Lim, Mahmut T. Kandemir, Chita R. Das:
MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters. IEEE CLOUD 2012: 1-8 - [c127]Akbar Sharifi, Asit K. Mishra, Shekhar Srikantaiah, Mahmut T. Kandemir, Chita R. Das:
PEPON: performance-aware hierarchical power budgeting for NoC based multicores. PACT 2012: 65-74 - [c126]Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Onur Mutlu, Chita R. Das:
Application-aware prefetch prioritization in on-chip networks. PACT 2012: 441-442 - [c125]Adwait Jog, Asit K. Mishra, Cong Xu, Yuan Xie, Vijaykrishnan Narayanan, Ravishankar R. Iyer, Chita R. Das:
Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs. DAC 2012: 243-252 - [c124]