Quota setting router architecture for quality of service in GALS NoC. - Kazem Cheshmi; Mohammadreza Soltaniyeh; Siamak Mohammadi; Jelena Trajkovic (RSP, 2013)

Chameleon: Channel efficient Optical Network-on-Chip. - Sébastien Le Beux; Hui Li 034; Ian O'Connor; Kazem Cheshmi; Xuchen Liu; Jelena Trajkovic; Gabriela Nicolescu (DATE, 2014)

A Clustered GALS NoC Architecture with Communication-Aware Mapping. - Kazem Cheshmi; Siamak Mohammadi; Daniel Versick; Djamshid Tavangarian; Jelena Trajkovic (PDP, 2015)

Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. - Kazem Cheshmi; Shoaib Kamil 001; Michelle Mills Strout; Maryam Mehri Dehnavi (SC, 2017)

Sparsity-Aware Storage Format Selection. - Kazem Cheshmi; Leila Cheshmi; Maryam Mehri Dehnavi (HPCS, 2018)

Extending Index-Array Properties for Data Dependence Analysis. - Mahdi Soltan Mohammadi; Kazem Cheshmi; Maryam Mehri Dehnavi; Anand Venkat; Tomofumi Yuki; Michelle Mills Strout (LCPC, 2018)

ParSy: inspection and transformation of sparse matrix computations for parallelism. - Kazem Cheshmi; Shoaib Kamil 001; Michelle Mills Strout; Maryam Mehri Dehnavi (SC, 2018)

Sparse Matrix Code Dependence Analysis Simplification at Compile Time. - Mahdi Soltan Mohammadi; Kazem Cheshmi; Ganesh Gopalakrishnan; Mary W. Hall; Maryam Mehri Dehnavi; Anand Venkat; Tomofumi Yuki; Michelle Mills Strout (CoRR, 2018)

MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations. - Bangtian Liu; Kazem Cheshmi; Saeed Soori; Maryam Mehri Dehnavi (CoRR, 2018)

Sparse computation data dependence simplification for efficient compiler-generated inspectors. - Mahdi Soltan Mohammadi; Tomofumi Yuki; Kazem Cheshmi; Eddie C. Davis; Mary W. Hall; Maryam Mehri Dehnavi; Payal Nandy; Catherine Olschanowsky; Anand Venkat; Michelle Mills Strout (PLDI, 2019)

MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. - Bangtian Liu; Kazem Cheshmi; Saeed Soori; Michelle Mills Strout; Maryam Mehri Dehnavi (PPoPP, 2020)

NASOQ: numerically accurate sparsity-oriented QP solver. - Kazem Cheshmi; Danny M. Kaufman; Shoaib Kamil 001; Maryam Mehri Dehnavi (ACM Trans. Graph., 2020)

Composing Loop-carried Dependence with Other Loops. - Kazem Cheshmi; Michelle Mills Strout; Maryam Mehri Dehnavi (CoRR, 2021)

Differentiating-based Vectorization for Sparse Kernels. - Zachary Cetinic; Kazem Cheshmi; Maryam Mehri Dehnavi (CoRR, 2021)

HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations. - Behrooz Zarebavani; Kazem Cheshmi; Bangtian Liu; Michelle Mills Strout; Maryam Mehri Dehnavi (IPDPS, 2022)

Optimizing sparse computations jointly. - Kazem Cheshmi; Michelle Mills Strout; Maryam Mehri Dehnavi (PPoPP, 2022)

Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. - Kazem Cheshmi; Zachary Cetinic; Maryam Mehri Dehnavi (SC, 2022)

Transforming Sparse Matrix Computations - Kazem Cheshmi (2022)

Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. - Kazem Cheshmi; Michelle Strout; Maryam Mehri Dehnavi (SC, 2023)

Register Tiling for Unstructured Sparsity in Neural Network Inference. - Lucas Wilkinson; Kazem Cheshmi; Maryam Mehri Dehnavi (Proc. ACM Program. Lang., 2023)

Improving Locality in Sparse and Dense Matrix Multiplications. - Mohammad Mahdi Salehi Dezfuli; Kazem Cheshmi (CoRR, 2024)

A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs. - Hossein Albakri; Kazem Cheshmi (CoRR, 2025)

Floating-Point Data Transformation for Lossless Compression. - Samirasadat Jamalidinan; Kazem Cheshmi (CoRR, 2025)