(H1) Architect Hardware at the Algorithm Level with Synopsys Monolith 25.11

Synopsys Monolith 25.11 is a cutting-edge High-Level Synthesis (HLS) tool that revolutionizes the design of specialized hardware accelerators by enabling engineers to work at a higher level of abstraction. Instead of manually writing complex Register Transfer Level (RTL) code in Verilog or VHDL, designers can describe the desired functionality and architecture in C++ or SystemC. Monolith then automatically synthesizes this algorithmic description into optimized, high-quality RTL, targeting ASICs or FPGAs. This approach is transformative for developing AI/ML accelerators, computer vision processors, advanced DSP blocks, and other complex data-path designs, dramatically reducing design time and enabling rapid architectural exploration.

(H2) Core Functional Capabilities of Monolith 25.11

• Algorithmic C++/SystemC to RTL Synthesis
  Start from a functional C++ model and generate production-ready RTL. The tool interprets untimed C++ code, allowing designers to focus on the algorithm's correctness before defining the hardware architecture (pipelining, parallelism, memory hierarchy) through pragmas and constraints.

• Architectural Exploration & Optimization
  Rapidly evaluate different hardware implementations. Easily experiment with loop unrolling, pipelining, data precision (fixed-point), and memory partitioning to find the optimal balance of performance, area, and power for your specific application, all without rewriting RTL.

• Integrated Verification & Analysis
  Maintain a single source of truth for functionality. The same C++ testbench used to validate the algorithm can be reused to verify the generated RTL, ensuring consistency. The tool provides detailed reports on estimated timing, area, and throughput early in the design cycle.

• Seamless Integration with Synopsys Flow
  Fit into a complete design ecosystem. The generated RTL is compatible with downstream Synopsys tools for logic synthesis (Design Compiler), verification (VCS), and implementation, supporting a smooth path from algorithm to silicon.

(H2) The Monolith Advantage in Accelerator Design

The computational demands of modern AI and signal processing are outpacing the capabilities of general-purpose processors. Synopsys Monolith 25.11 provides the essential methodology to efficiently create the custom hardware needed to bridge this gap. By raising the design abstraction to the algorithmic level, it empowers software and algorithm experts to contribute directly to hardware design and allows hardware teams to explore more architectural possibilities in less time. For companies racing to develop the next generation of intelligent, efficient silicon for data centers, autonomous vehicles, or edge devices, Monolith is a critical competitive tool that accelerates innovation.