2 papers
cs.AR2025
SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators
Yaman Umuroglu, Christoph Berganski, Felix Jentzsch +8
While neural network quantization effectively reduces the cost of matrix multiplications, aggressive quantization can expose non-matrix-multiply operations as significant performan…
cs.CR2025
ShadowBinding: Realizing Effective Microarchitectures for In-Core Secure Speculation Schemes
Amund Bergland Kvalsvik, Magnus Själander
Secure speculation schemes have shown great promise in the war against speculative side-channel attacks, and will be a key building block for developing secure, high-performance ar…