Dan Alistarh

Dan Alistarh publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Dan Alistarh sits on this spectrum.

Dan Alistarh D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dan Alistarh sits on this spectrum.

Best Publications

• QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

  Dan Alistarh;Demjan Grubic;Jerry Z. Li;Ryota Tomioka

  1106
  Citations

• Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

  Unknown

  343
  Citations

• Model compression via distillation and quantization

  Antonio Polino;Razvan Pascanu;Dan Alistarh

  276
  Citations

• GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

  Unknown

  271
  Citations

• Byzantine Stochastic Gradient Descent

  Dan Alistarh;Zeyuan Allen-Zhu;Jerry Li

  208
  Citations

• ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

  Hantian Zhang;Jerry Li;Kaan Kara;Dan Alistarh

  175
  Citations

• The SprayList: a scalable relaxed priority queue

  Dan Alistarh;Justin Kopinsky;Jerry Li;Nir Shavit

  133
  Citations

• Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

  Torsten Hoefler;Dan Alistarh;Tal Ben-Nun;Nikoli Dryden

  131
  Citations

• Fast and Exact Majority in Population Protocols

  Dan Alistarh;Rati Gelashvili;Milan Vojnović

  118
  Citations

• SparCML: high-performance sparse communication for machine learning

  Cedric Renggli;Saleh Ashkboos;Mehdi Aghagolzadeh;Dan Alistarh

  112
  Citations

• Polylogarithmic-Time Leader Election in Population Protocols

  Dan Alistarh;Rati Gelashvili

  104
  Citations

• QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent

  Dan Alistarh;Jerry Li;Ryota Tomioka;Milan Vojnovic

  99
  Citations

• Space-optimal majority in population protocols

  Dan Alistarh;James Aspnes;Rati Gelashvili

  94
  Citations

• FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off

  Kaan Kara;Dan Alistarh;Gustavo Alonso;Onur Mutlu

  83
  Citations

• Byzantine Stochastic Gradient Descent

  Dan Alistarh;Zeyuan Allen-Zhu;Jerry Li

  73
  Citations

• SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

  Unknown

  70
  Citations

• Fast randomized test-and-set and renaming

  Dan Alistarh;Hagit Attiya;Seth Gilbert;Andrei Giurgiu

  70
  Citations

• StackTrack: an automated transactional approach to concurrent memory reclamation

  Dan Alistarh;Patrick Eugster;Maurice Herlihy;Alexander Matveev

  67
  Citations

• SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

  Unknown

  59
  Citations

• Recent Algorithmic Advances in Population Protocols

  Dan Alistarh;Rati Gelashvili

  58
  Citations