Rishikesavan S.
Silicon Design & Architecture
Silicon engineer focused on low-power computer architecture, Domain-Specific Architectures (DSA), and ASIC physical design. Primary objective: neutralizing the memory wall and dynamic power bottlenecks in AI workloads via neuromorphic spatial and temporal sparsity.
Technical Profile
Languages: SystemVerilog, Verilog, Python, C, Tcl
Architecture: RISC-V (PicoRV32), PCPI, AXI4/AXI4-Lite, INT8 NPUs, NoC, Datapath Pipelining
Verification: UVM, SystemVerilog Assertions (SVA), Cycle-Accurate Modeling
Physical Design: RTL-to-GDSII, OpenLane, Yosys, OpenROAD, Magic, OpenSTA (Sky130, ASAP7)
Core Architectures
H.A.F.I.Z. Edge Core(Hardware Architecture for In-Phase and Quatra-Phase Zeroes)
Neuromorphic-Inspired Tri-Core RISC-V SoC
Integrated PicoRV32 with custom spatial sparsity filters and an INT8 NPU.
Event-Driven Spiking Attention (EDSA)
Dynamic Activation Sparsity IP for LLMs.
Hardware-level token entropy evaluation and dynamic KV-cache pruning.
Hardware FlashAttention Engine (FAE)
Single-Pass LLM Attention Accelerator.
Fast Adaptive Tensor Translation & Assembly Hardware(F.A.T.T.A.H) A Near memory processing IP Block.
Multicast Universal Junction for Event Exchange Bus(M.U.J.E.E.B) NoC router (Crossbar + Direct Memory Access(DMA) ) IP Block.
Methodology
Mathematical Modeling
Every Project was Verified with strict adherence to timing closure, functional coverage, and physical(Magic) DRC rules.