68 citations · 110 across the 11 of their papers we have counts for
12 papers
Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation
Emmanuel Agullo, Hartwig Anzt, Daniel Bauer +37
Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accel…
Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads
Doru Thom Popovici, Mario Vega, Angelos Ioannou +6
Developing efficient hardware accelerators for mathematical kernels used in scientific applications and machine learning has traditionally been a labor-intensive task. These accele…
Comparison of Vectorization Capabilities of Different Compilers for X86 and ARM CPUs
Nazmus Sakib, Tarun Prabhu, Nandakishore Santhi +2
Most modern processors contain vector units that simultaneously perform the same arithmetic operation over multiple sets of operands. The ability of compilers to automatically vect…
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics
George Michelogiannakis, Yehia Arafa, Brandon Cook +6
The diversity of workload requirements and increasing hardware heterogeneity in emerging high performance computing (HPC) systems motivate resource disaggregation. Resource disaggr…
Preparing for the Future -- Rethinking Proxy Apps
Satoshi Matsuoka, Jens Domke, Mohamed Wahib +5
A considerable amount of research and engineering went into designing proxy applications, which represent common high-performance computing workloads, to co-design and evaluate the…
TIGER: Topology-aware Assignment using Ising machines Application to Classical Algorithm Tasks and Quantum Circuit Gates
Anastasiia Butko, Ilyas Turimbetov, George Michelogiannakis +3
Optimally mapping a parallel application to compute and communication resources is increasingly important as both system size and heterogeneity increase. A similar mapping problem…