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2020 – today
- 2022
[c156]Jinfeng Yang, Bingzhe Li
, Jianjun Yuan, Zhaoyan Shen, Hung-Chang Du, David J. Lilja:
Work-in-Progress: ExpCache: Online-Learning based Cache Replacement Policy for Non-Volatile Memory. CASES 2022: 7-8- 2021
- [j74]M. Hassan Najafi, David J. Lilja:
High Quality Down-Sampling for Deterministic Approaches to Stochastic Computing. IEEE Trans. Emerg. Top. Comput. 9(1): 7-14 (2021) - [c155]Jinfeng Yang, Bingzhe Li, David J. Lilja:
HeuristicDB: a hybrid storage database system using a non-volatile memory block device. SYSTOR 2021: 16:1-16:12 - [c154]Yectli A. Huerta, David J. Lilja:
Analysis of a ThunderX2 System Using Top-Down and Purchasing Power Parity Methods. PEARC 2021: 42:1-42:4 - 2020
- [j73]Qianqian Fan, David J. Lilja, Sachin S. Sapatnekar:
Adaptive-Length Coding of Image Data for Low-Cost Approximate Storage. IEEE Trans. Computers 69(2): 239-252 (2020) - [j72]Jinfeng Yang, Bingzhe Li, David J. Lilja:
Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(1): 4:1-4:28 (2020) - [c153]Yaobin Qin, Xianbo Zhang, David J. Lilja:
PBCCF: Accelerated Deduplication by Prefetching Backup Content Correlated Fingerprints. ICCD 2020: 146-154 - [c152]Yaobin Qin, David J. Lilja:
AdaEmb-Encoder: Adaptive Embedding Spatial Encoder-Based Deduplication for Backing Up Classifier Training Data. IPCCC 2020: 1-8 - [c151]M. Hassan Najafi, S. Rasoul Faraji, Kia Bazargan, David J. Lilja:
Energy-Efficient Pulse-Based Convolution for Near-Sensor Processing. ISCAS 2020: 1-5 - [c150]M. Hassan Najafi, Devon Jenson, David J. Lilja, Marc D. Riedel:
Performing Stochastic Computation Deterministically. ISCAS 2020: 1 - [c149]Yectli A. Huerta, Brent Swartz, David J. Lilja:
Enhancing the Top-Down Microarchitectural Analysis Method Using Purchasing Power Parity Theory. LCPC 2020: 163-177
2010 – 2019
- 2019
- [j71]Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja:
Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier. ACM J. Emerg. Technol. Comput. Syst. 15(1): 12:1-12:21 (2019) - [j70]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15(2): 18:1-18:19 (2019) - [j69]Bingzhe Li, Hao Wen, Farnaz Toussi, Clark Anderson, Bernard A. King-Smith, David J. Lilja, David H. C. Du:
NetStorage: A synchronized trace-driven replayer for network-storage system evaluation. Perform. Evaluation 130: 86-100 (2019) - [j68]M. Hassan Najafi, Devon Jenson, David J. Lilja, Marc D. Riedel:
Performing Stochastic Computation Deterministically. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2925-2938 (2019) - [c148]M. Hassan Najafi, S. Rasoul Faraji, Kia Bazargan, David J. Lilja:
Energy-Efficient Near-Sensor Convolution using Pulsed Unary Processing. ASAP 2019: 36 - [c147]S. Rasoul Faraji, M. Hassan Najafi, Bingzhe Li, David J. Lilja, Kia Bazargan:
Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. DATE 2019: 1757-1762 - [c146]Bingzhe Li, Jiaxi Hu, M. Hassan Najafi, Steven J. Koester, David J. Lilja:
Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 141-146 - [c145]Bingzhe Li, Chunhua Deng, Jinfeng Yang, David J. Lilja, Bo Yuan, David H. C. Du:
HAML-SSD: A Hardware Accelerated Hotness-Aware Machine Learning based SSD Management. ICCAD 2019: 1-8 - [c144]Qianqian Fan, David J. Lilja, Sachin S. Sapatnekar:
Using DCT-based Approximate Communication to Improve MPI Performance in Parallel Clusters. IPCCC 2019: 1-10 - [c143]M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, Kia Bazargan:
Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. ISQED 2019: 157-162 - [c142]Yaobin Qin, Brandon Hoffmann, Yuwei Wang, David J. Lilja:
Exploring A Forecasting Structure for the Capacity Usage in Backup Storage Systems. UEMCON 2019: 126-134 - 2018
- [j67]S. Karen Khatamifard, M. Hassan Najafi, Ali Ghoreyshi, Ulya R. Karpuzcu, David J. Lilja:
On Memory System Design for Stochastic Computing. IEEE Comput. Archit. Lett. 17(2): 117-121 (2018) - [j66]Filipe Betzel, S. Karen Khatamifard, Harini Suresh, David J. Lilja, John Sartori, Ulya R. Karpuzcu:
Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems. ACM Comput. Surv. 51(1): 1:1-1:32 (2018) - [j65]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Low-Cost Sorting Network Circuits Using Unary Processing. IEEE Trans. Very Large Scale Integr. Syst. 26(8): 1471-1480 (2018) - [c141]M. Hassan Najafi, David J. Lilja, Marc D. Riedel:
Deterministic methods for stochastic computing using low-discrepancy sequences. ICCAD 2018: 51 - [c140]Yaobin Qin, Brandon Hoffmann, David J. Lilja:
HyperProtect: Enhancing the Performance of a Dynamic Backup System Using Intelligent Scheduling. IPCCC 2018: 1-8 - [c139]Joseph M. Myre, Erich Frahm, David J. Lilja, Martin O. Saar:
TNT: A Solver for Large Dense Least-Squares Problems that Takes Conjugate Gradient from Bad in Theory, to Good in Practice. IPDPS Workshops 2018: 987-995 - [c138]Cong Ma, David J. Lilja:
Parallel implementation of finite state machines for reducing the latency of stochastic computing. ISQED 2018: 335-340 - [c137]Bingzhe Li, M. Hassan Najafi, Bo Yuan, David J. Lilja:
Quantized neural networks with new stochastic multipliers. ISQED 2018: 376-382 - [c136]Meng Yang, Bingzhe Li, David J. Lilja, Bo Yuan, Weikang Qian:
Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing. ISVLSI 2018: 154-159 - [c135]Almutaz Adileh, David J. Lilja, Lieven Eeckhout:
Architectural Support for Probabilistic Branches. MICRO 2018: 108-120 - [c134]Bingzhe Li, Meng Yang, Soheil Mohajer, Weikang Qian, David J. Lilja:
Tier-Code: An XOR-Based RAID-6 Code with Improved Write and Degraded-Mode Read Performance. NAS 2018: 1-10 - [c133]Amogh Katti, David J. Lilja:
Efficient and Fast Approximate Consensus with Epidemic Failure Detection at Extreme Scale. PDP 2018: 267-272 - [c132]Jinfeng Yang, David J. Lilja:
Reducing Relational Database Performance Bottlenecks Using 3D XPoint Storage Technology. TrustCom/BigDataSE 2018: 1804-1808 - [c131]Yaobin Qin, Bingzhe Li, David J. Lilja:
Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. UEMCON 2018: 673-682 - 2017
- [j64]Cong Ma, William Tuohy, David J. Lilja:
Impact of spintronic memory on multicore cache hierarchy design. IET Comput. Digit. Tech. 11(2): 51-59 (2017) - [j63]M. Hassan Najafi, Peng Li, David J. Lilja, Weikang Qian, Kia Bazargan, Marc D. Riedel:
A Reconfigurable Architecture with Sequential Logic-Based Stochastic Computing. ACM J. Emerg. Technol. Comput. Syst. 13(4): 57:1-57:28 (2017) - [j62]M. Hassan Najafi, Shiva Jamali-Zavareh, David J. Lilja, Marc D. Riedel, Kia Bazargan, Ramesh Harjani:
An Overview of Time-Based Computing with Stochastic Constructs. IEEE Micro 37(6): 62-71 (2017) - [j61]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Polysynchronous Clocking: Exploiting the Skew Tolerance of Stochastic Circuits. IEEE Trans. Computers 66(10): 1734-1746 (2017) - [j60]M. Hassan Najafi, Shiva Jamali-Zavareh, David J. Lilja, Marc D. Riedel, Kia Bazargan, Ramesh Harjani:
Time-Encoded Values for Highly Efficient Stochastic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 25(5): 1644-1657 (2017) - [c130]Lian Huai, Peng Li, Gerald E. Sobelman, David J. Lilja:
Stochastic computing implementation of trigonometric and hyperbolic functions. ASICON 2017: 553-556 - [c129]M. Hassan Najafi, David J. Lilja:
High-speed stochastic circuits using synchronous analog pulses. ASP-DAC 2017: 481-487 - [c128]Joe M. Myre, Erich Frahm, David J. Lilja, Martin O. Saar:
TNT-NN: A Fast Active Set Method for Solving Large Non-Negative Least Squares Problems. ICCS 2017: 755-764 - [c127]Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja:
Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. ICCD 2017: 97-104 - [c126]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Power and Area Efficient Sorting Networks Using Unary Processing. ICCD 2017: 125-128 - [c125]Manas Minglani, Jim Diehl, Xiang Cao, Bingzhe Li, Dongchul Park, David J. Lilja, David H. C. Du:
Kinetic Action: Performance Analysis of Integrated Key-Value Storage Devices vs. LevelDB Servers. ICPADS 2017: 501-510 - [c124]Yectli A. Huerta, Brent Swartz, David J. Lilja:
Determining work partitioning on closely coupled heterogeneous computing systems using statistical design of experiments. IISWC 2017: 118-119 - [c123]Qianqian Fan, Sachin S. Sapatnekar, David J. Lilja:
Cost-quality trade-offs of approximate memory repair mechanisms for image data. ISQED 2017: 438-444 - [c122]Bingzhe Li, Farnaz Toussi, Clark Anderson, David J. Lilja, David H. C. Du:
TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. NAS 2017: 1-10 - [i3]S. Karen Khatamifard, M. Hassan Najafi, Ali Ghoreyshi, Ulya R. Karpuzcu, David J. Lilja:
On Memory System Design for Stochastic Computing. CoRR abs/1709.08748 (2017) - 2016
- [c121]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Polysynchronous stochastic circuits. ASP-DAC 2016: 492-498 - [c120]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. FPGA 2016: 36-41 - [c119]Bingzhe Li, Manas Minglani, David J. Lilja:
Ps-Code: A New Code for Improved Degraded Mode Read and Write Performance of RAID Systems. NAS 2016: 1-10 - [i2]M. Hassan Najafi, David J. Lilja:
A High-Capacity Separable Reversible Method for Hiding Multiple Messages in Encrypted Images. CoRR abs/1612.04339 (2016) - 2015
- [c118]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. ASAP 2015: 68-69 - [c117]Yuan Ji, Feng Ran, Cong Ma, David J. Lilja:
A hardware implementation of a radial basis function neural network using stochastic logic. DATE 2015: 880-883 - [c116]M. Hassan Najafi, Anirudh Murali, David J. Lilja, John Sartori:
GPU-Accelerated Nick Local Image Thresholding Algorithm. ICPADS 2015: 576-584 - [c115]Manas Minglani, Ashwin Nagarajan, Sneha Deshapande, Luke R. Everson, David J. Lilja:
Design space exploration for efficient computing in Solid State drives with the Storage Processing Unit. NAS 2015: 87-94 - 2014
- [j59]Peng Li, David J. Lilja, Weikang Qian, Marc D. Riedel, Kia Bazargan:
Logical Computation on Stochastic Bit Streams with Linear Finite-State Machines. IEEE Trans. Computers 63(6): 1474-1486 (2014) - [j58]David J. Lilja:
Introduction. ACM Trans. Parallel Comput. 1(1): 2:1-2:2 (2014) - [j57]Peng Li, David J. Lilja, Weikang Qian, Kia Bazargan, Marc D. Riedel:
Computation on Stochastic Bit Streams Digital Image Processing Case Studies. IEEE Trans. Very Large Scale Integr. Syst. 22(3): 449-462 (2014) - [c114]Naman Saraf, Kia Bazargan, David J. Lilja, Marc D. Riedel:
IIR filters using stochastic arithmetic. DATE 2014: 1-6 - [c113]William Tuohy, Cong Ma, Pushkar Nandkar, Nishant Borse, David J. Lilja:
Improving Energy and Performance with Spintronics Caches in Multicore Systems. Euro-Par Workshops (2) 2014: 279-290 - 2013
- [j56]Weijun Xiao, Peng Li, David J. Lilja:
Comparing the performance of stochastic simulation on GPUs and OpenMP. Int. J. Comput. Sci. Eng. 8(1): 34-46 (2013) - [j55]David J. Lilja, Raffaela Mirandola:
Introduction to the theme issue on performance modeling. Softw. Syst. Model. 12(4): 679-680 (2013) - [c112]Peng Li, David J. Lilja:
Accelerating the performance of stochastic encoding-based computations by sharing bits in consecutive bit streams. ASAP 2013: 257-260 - [c111]Ding Liu, Ruixuan Li, David J. Lilja, Weijun Xiao:
A divide-and-conquer approach for solving singular value decomposition on a heterogeneous system. Conf. Computing Frontiers 2013: 36:1-36:10 - [c110]Keerthi Palanivell, Kingsum Chow, Khun Ban, David J. Lilja:
A Stepwise Approach to Software-Hardware Performance Co-optimization Using Design of Experiments. Int. CMG Conference 2013 - [c109]Peng Li, Kevin Gomez, David J. Lilja:
Exploiting free silicon for energy-efficient computing directly in NAND flash-based solid-state storage systems. HPEC 2013: 1-6 - [c108]Naman Saraf, Kia Bazargan, David J. Lilja, Marc D. Riedel:
Stochastic functions using sequential logic. ICCD 2013: 507-510 - 2012
- [c107]Peng Li, Kevin Gomez, David J. Lilja:
Design of a storage processing unit. PACT 2012: 479-480 - [c106]Peng Li, Weikang Qian, Marc D. Riedel, Kia Bazargan, David J. Lilja:
The synthesis of linear Finite State Machine-based Stochastic Computational Elements. ASP-DAC 2012: 757-762 - [c105]Nohhyun Park, Irfan Ahmad, David J. Lilja:
Romano: autonomous storage management using performance prediction in multi-tenant datacenters. SoCC 2012: 21 - [c104]Shruti Patil, Min-Woo Jang, Chia-Ling Chen, Dongjin Lee, Zhijang Ye, Walter E. Partlo, David J. Lilja, Stephen A. Campbell, Tianhong Cui:
Weighted area technique for electromechanically enabled logic computation with cantilever-based NEMS switches. DATE 2012: 727-732 - [c103]Weikang Qian, Chen Wang, Peng Li, David J. Lilja, Kia Bazargan, Marc D. Riedel:
An efficient implementation of numerical integration using logical computation on stochastic bit streams. ICCAD 2012: 156-162 - [c102]Peng Li, David J. Lilja, Weikang Qian, Kia Bazargan, Marc D. Riedel:
The synthesis of complex arithmetic computation on stochastic bit streams using sequential logic. ICCAD 2012: 480-487 - [c101]Peng Li, Weikang Qian, David J. Lilja:
A stochastic reconfigurable architecture for fault-tolerant computation with sequential logic. ICCD 2012: 303-308 - [c100]Zhe Zhang, Weijun Xiao, Nohhyun Park, David J. Lilja:
Memory module-level testing and error behaviors for phase change memory. ICCD 2012: 358-363 - [c99]Weijun Xiao, Xiaoqiang Lei, Ruixuan Li, Nohhyun Park, David J. Lilja:
PASS: A Hybrid Storage System for Performance-Synchronization Tradeoffs Using SSDs. ISPA 2012: 403-410 - [c98]Peng Li, Weikang Qian, David J. Lilja, Kia Bazargan, Marc D. Riedel:
Case Studies of Logical Computation on Stochastic Bit Streams. PATMOS 2012: 235-244 - [c97]Jiaxi Hu, Zhaosen Wang, Qiyuan Qiu, Weijun Xiao, David J. Lilja:
Sparse Fast Fourier Transform on GPUs and Multi-core CPUs. SBAC-PAD 2012: 83-91 - [e2]Pen-Chung Yew, Sangyeun Cho, Luiz DeRose, David J. Lilja:
International Conference on Parallel Architectures and Compilation Techniques, PACT '12, Minneapolis, MN, USA - September 19 - 23, 2012. ACM 2012, ISBN 978-1-4503-1182-3 [contents] - 2011
- [j54]Joe Myre, Stuart D. C. Walsh, David J. Lilja, Martin O. Saar:
Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters. Concurr. Comput. Pract. Exp. 23(4): 332-350 (2011) - [j53]Yocheved Dotan, Nadav Levison, David J. Lilja:
Fault tolerance for nanotechnology devices at the bit and module levels with history index of correct computation. IET Comput. Digit. Tech. 5(4): 221-230 (2011) - [j52]Weikang Qian, Xin Li, Marc D. Riedel, Kia Bazargan, David J. Lilja:
An Architecture for Fault-Tolerant Computation with Stochastic Logic. IEEE Trans. Computers 60(1): 93-105 (2011) - [c96]Peng Li, David J. Lilja:
A low power fault-tolerance architecture for the kernel density estimation based image segmentation algorithm. ASAP 2011: 161-168 - [c95]Shruti Patil, David J. Lilja:
Performing bitwise logic operations in cache using spintronics-based magnetic tunnel junctions. Conf. Computing Frontiers 2011: 33 - [c94]Shruti R. Patil, David J. Lilja:
A programmable and scalable technique to design spintronic logic circuits based on magnetic tunnel junctions. ACM Great Lakes Symposium on VLSI 2011: 7-12 - [c93]Peng Li, David J. Lilja:
Using stochastic computing to implement digital image processing algorithms. ICCD 2011: 154-161 - [c92]Biplob K. Debnath, Sudipta Sengupta, Jin Li, David J. Lilja, David Hung-Chang Du:
BloomFlash: Bloom Filter on Flash-Based Storage. ICDCS 2011: 635-644 - [c91]Biplob K. Debnath, Krishnan Srinivasan, Weijun Xiao, David J. Lilja, David H. C. Du:
Sampling-based garbage collection metadata management scheme for flash-based storage. MSST 2011: 1-6 - [e1]Samuel Kounev, Vittorio Cortellessa, Raffaela Mirandola, David J. Lilja:
ICPE'11 - Second Joint WOSP/SIPEW International Conference on Performance Engineering, Karlsruhe, Germany, March 14-16, 2011. ACM 2011, ISBN 978-1-4503-0519-8 [contents] - 2010
- [j51]Shruti R. Patil, David J. Lilja:
Using Resampling Techniques to Compute Confidence Intervals for the Harmonic Mean of Rate-Based Performance Metrics. IEEE Comput. Archit. Lett. 9(1): 1-4 (2010) - [j50]Haowei Bai, David J. Lilja, Mohammed Atiquzzaman:
Cross-layer speculative architecture for end systems and gateways in computer networks with lossy links. Wirel. Networks 16(6): 1621-1638 (2010) - [c90]Shruti Patil, Andrew Lyle, Jonathan D. Harms, David J. Lilja, Jianping Wang:
Spintronic logic gates for spintronic data using magnetic tunnel junctions. ICCD 2010: 125-131 - [c89]Nohhyun Park, David J. Lilja:
Characterizing datasets for data deduplication in backup applications. IISWC 2010: 1-10 - [c88]Biplob K. Debnath, Mohamed F. Mokbel, David J. Lilja, David H. C. Du:
Deferred updates for flash-based storage. MSST 2010: 1-6 - [c87]Eric Seppanen, Matthew T. O'Keefe, David J. Lilja:
High performance solid state storage under Linux. MSST 2010: 1-12
2000 – 2009
- 2009
- [j49]Stuart D. C. Walsh, Martin O. Saar, Peter Bailey, David J. Lilja:
Accelerating geoscience and engineering system simulations on graphics hardware. Comput. Geosci. 35(12): 2353-2364 (2009) - [j48]Yocheved Dotan, Nadav Levison, Roi Avidan, David J. Lilja:
History Index of Correct Computation for Fault-Tolerant Nano-Computing. IEEE Trans. Very Large Scale Integr. Syst. 17(7): 943-952 (2009) - [c86]Anand Singh, David J. Lilja:
Using a Statistical Approach for Optimal Security Parameter Determination. Security and Management 2009: 515-520 - [c85]Xin Li, Weikang Qian, Marc D. Riedel, Kia Bazargan, David J. Lilja:
A reconfigurable stochastic architecture for highly reliable computing. ACM Great Lakes Symposium on VLSI 2009: 315-320 - [c84]Weikang Qian, Marc D. Riedel, Kia Bazargan, David J. Lilja:
The synthesis of combinational logic to generate probabilities. ICCAD 2009: 367-374 - [c83]Peter Bailey, Joe Myre, Stuart D. C. Walsh, David J. Lilja, Martin O. Saar:
Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors. ICPP 2009: 550-557 - [c82]Biplob K. Debnath, Sunil Subramanya, David Hung-Chang Du, David J. Lilja:
Large Block CLOCK (LB-CLOCK): A write caching algorithm for solid state disks. MASCOTS 2009: 1-9 - [c81]Anand Singh, David J. Lilja:
Improving risk assessment methodology: a statistical design of experiments approach. SIN 2009: 21-29 - 2008
- [j47]Biplob K. Debnath, Mohamed F. Mokbel, David J. Lilja:
Exploiting the Impact of Database System Configuration Parameters: A Design of Experiments Approach. IEEE Data Eng. Bull. 31(1): 3-10 (2008) - [j46]Deepak Mathaikutty, Sreekumar V. Kodakara, Ajit Dingankar, Sandeep K. Shukla, David J. Lilja:
MMV: A Metamodeling Based Microprocessor Validation Environment. IEEE Trans. Very Large Scale Integr. Syst. 16(4): 339-352 (2008) - [c80]Shruti R. Patil, Xiaofeng Yao, Hao Meng, Jianping Wang, David J. Lilja:
Design of a spintronic arithmetic and logic unit using magnetic tunnel junctions. Conf. Computing Frontiers 2008: 171-178 - [c79]Renato J. O. Figueiredo, P. Oscar Boykin, José A. B. Fortes, Tao Li, Jie-Kwon Peir, David Wolinsky, Lizy K. John, David R. Kaeli, David J. Lilja, Sally A. McKee, Gokhan Memik, Alain Roy, Gary S. Tyson:
Archer: A Community Distributed Computing Infrastructure for Computer Architecture Research and Education. CollaborateCom 2008: 70-84 - [c78]