| Virtual machine showdown: Stack versus registers Y Shi, K Casey, MA Ertl, D Gregg ACM Transactions on Architecture and Code Optimization (TACO) 4 (4), 1-36, 2008 | 237 | 2008 |
| Parallel multi channel convolution using general matrix multiplication A Vasudevan, A Anderson, D Gregg 2017 IEEE 28th international conference on application-specific systems …, 2017 | 201 | 2017 |
| The structure and performance of efficient interpreters MA Ertl, D Gregg Journal of Instruction-Level Parallelism 5, 1-25, 2003 | 136 | 2003 |
| vmgen—a generator of efficient virtual machine interpreters MA Ertl, D Gregg, A Krall, B Paysan Software: Practice and Experience 32 (3), 265-294, 2002 | 127 | 2002 |
| Optimizing indirect branch prediction accuracy in virtual machine interpreters MA Ertl, D Gregg Proceedings of the ACM SIGPLAN 2003 conference on Programming language …, 2003 | 112 | 2003 |
| The movidius myriad architecture's potential for scientific computing MH Ionica, D Gregg IEEE Micro 35 (1), 6-14, 2015 | 95 | 2015 |
| The Behavior of Efficient Virtual Machine Interpreters on Modern Architectures MA Ertl, D Gregg Euro-Par 2001 Parallel Processing: 7th International Euro-Par Conference …, 2001 | 87 | 2001 |
| The case for virtual register machines B Davis, A Beatty, K Casey, D Gregg, J Waldron Proceedings of the 2003 workshop on Interpreters, virtual machines and …, 2003 | 81 | 2003 |
| Low-memory gemm-based convolution algorithms for deep neural networks A Anderson, A Vasudevan, C Keane, D Gregg arXiv preprint arXiv:1709.03395, 2017 | 77 | 2017 |
| Optimizing indirect branch prediction accuracy in virtual machine interpreters K Casey, MA Ertl, D Gregg ACM Transactions on Programming Languages and Systems (TOPLAS) 29 (6), 37-es, 2007 | 54 | 2007 |
| Multiple-valued logic buses for reducing bus energy in low-power systems E Ozer, R Sendag, D Gregg IEE Proceedings-Computers and Digital Techniques 153 (4), 270-282, 2006 | 48 | 2006 |
| Low complexity multiply accumulate unit for weight-sharing convolutional neural networks J Garland, D Gregg IEEE Computer Architecture Letters 16 (2), 132-135, 2017 | 45 | 2017 |
| Low complexity multiply-accumulate units for convolutional neural networks with weight-sharing J Garland, D Gregg ACM Transactions on Architecture and Code Optimization (TACO) 15 (3), 1-24, 2018 | 41 | 2018 |
| A practical solution for scripting language compilers P Biggar, E de Vries, D Gregg Proceedings of the 2009 ACM symposium on Applied computing, 1916-1923, 2009 | 41 | 2009 |
| Optimal DNN primitive selection with partitioned boolean quadratic programming A Anderson, D Gregg Proceedings of the 2018 International Symposium on Code Generation and …, 2018 | 40 | 2018 |
| Dynamic interpretation for dynamic scripting languages K Williams, J McCandless, D Gregg Proceedings of the 8th annual IEEE/ACM international symposium on Code …, 2010 | 36 | 2010 |
| FPGA based sparse matrix vector multiplication using commodity dram memory D Gregg, C Mc Sweeney, C McElroy, F Connor, S McGettrick, D Moloney, ... 2007 International Conference on Field Programmable Logic and Applications …, 2007 | 36 | 2007 |
| Stochastic bit-width approximation using extreme value theory for customizable processors E Özer, AP Nisbet, D Gregg International Conference on Compiler Construction, 250-264, 2004 | 35 | 2004 |
| Combining stack caching with dynamic superinstructions MA Ertl, D Gregg Proceedings of the 2004 workshop on Interpreters, Virtual Machines and …, 2004 | 34 | 2004 |
| High-performance low-memory lowering: GEMM-based algorithms for DNN convolution A Anderson, A Vasudevan, C Keane, D Gregg 2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020 | 33 | 2020 |
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